,Unnamed: 0,Chapter,Midterm,Model,Condition,Question,Answer,questionId
0,842,chapter12_1,midterm_2,GPT3,BadSummary,"- the agent's knowledge state provides a summary of the uncertainty in the world, and the agent's utility function gives an account of the agent's preferences over the possible outcomes
","1:
",842
1,177,chapter19_2,midterm_2,GPT3,Best Condition - with Davinci,"What is a model class?
",A model class is a function class that approximates the true function.,177
2,464,chapter7_2,midterm_1,GPT3,GoodSummary,"What is a wumpus world? 
","A wumpus world is a world with performance measures, environment, and actuators (move foward, left, right), sensors (five sensors).",464
3,5502,chapter_2_1,1st midterm,T5,From raw text,Where does the vacuum-cleaner agent start?,square,5502
4,1485,chapter3_2,midterm_1,GPT3,Fewshot,"What is the criterion for a uniform-cost search?

","The criterion for a uniform-cost search is that it is complete and optimal.
",1485
5,170,chapter19_1,midterm_2,GPT3,Best Condition - with Davinci,"What is needed in addition to the components of an agent?
","The agent also needs utility information, action-value information, and a goal that describes the most desirable states.",170
6,3504,chapter19_3,midterm_2,T5,Zero,Decision trees can be used for what classification if it only outputs true or false?,boolean,3504
7,4142,chapter19_3,midterm_2,T5,Fewshot,The importance of an attribute is measured by what?,entropy,4142
8,2758,chapter2_3,midterm_1,T5,BadSummary,What happens in a known env?,the outcomes (or outcome probabs) for all actions are given,2758
9,878,chapter19_2,midterm_2,GPT3,BadSummary,"What is a model class?
",A model class is a set of all possible models that could be drawn from a hypothesis space.,878
10,4686,chapter12_5,midterm_2,T5,Best Condition - with Davinci,What is a mathematical formula for computing the probability of a given event?,Bayes' rule,4686
11,953,slp_chapter7_1,midterm_2,GPT3,BadSummary,"What is a neural network?
",A neural network is a network of small computing units.,953
12,6092,chapter_2_2_3,1st midterm,GPT3,From GPT-3 generated summary,"What is the difference between rationality and omniscience?
","Omniscience is impossible in reality, but rationality is not the same as perfection. rationality maximizes expected performance, while perfection maximizes actual performance.",6092
13,3232,chapter5_1,midterm_1,T5,Zero,What are used to determine the end state of the game and the value of the game to the players?,terminal test and utility functions,3232
14,1128,chapter7_2,midterm_1,GPT3,Zero,What is the ,To,1128
15,3242,chapter5_3,midterm_1,T5,Zero,What is the effectinvness of alpha beta dependent on?,the order in which states are examined,3242
16,3595,slp_chapter5_1,midterm_2,T5,Zero,What type of classification can logistic regression be used for?,multi-class classification,3595
17,4461,chapter5_1,midterm_1,T5,Best Condition - with Davinci,What can a game be defined as?,search problem,4461
18,3862,chapter5_3,midterm_1,T5,Fewshot,What is the value of the lowest value choice we have found so far at any action point for MAX?,Beta,3862
19,456,chapter6_5,midterm_1,GPT3,GoodSummary,"What is the difference between decomposition into subproblems and tree decomposition?
","With decomposition into subproblems, work is o(d^c[n/c]). without it, work is o(d^n).",456
20,1257,chapter13_2,midterm_2,GPT3,Zero,"What is the chain rule?
","The chain rule is used to define a generic entry in the joint distribution as follows: p(xx..., xn) = ∏^n_(i=1)θ(x_i | parents(x_i)).",1257
21,6186,chapter_3_4_3,1st midterm,GPT3,From GPT-3 generated summary,"What is depth-first search?
",Depth-first search expands the deepest node in the frontier first.,6186
22,5048,chapter_1_1_2,1st midterm,GPT3,From raw text,"How do ai and cognitive science fertilize each other?
","Ai and cognitive science fertilize each other, most notably in computer vision, which incorporates neurophysiological evidence into computational models.",5048
23,5021,slp_chapter6_11,midterm_2,T5,Best Condition - with Davinci,What becomes more gendered in embedding space than they were in the input text statistics?,Gendered terms,5021
24,2922,chapter22_4,midterm_2,T5,BadSummary,Evaluation function is a compact approximation of what?,utility function or Q-function,2922
25,5731,chapter_2_4_6,1st midterm,T5,From raw text,Who proposed building learning machines and then teaching them?,Turing,5731
26,5498,chapter_2_1,1st midterm,T5,From raw text,"The agent program is a concrete implementation, running within some physical system. What is important to keep distinct?",two ideas,5498
27,792,chapter6_2,midterm_1,GPT3,BadSummary,"What is the worst-case running time of ac-3?

",The worst-case running time of ac-3 is $o(cd^3)$.,792
28,6077,chapter_2_1,1st midterm,GPT3,From GPT-3 generated summary,"What is an example of a robotic agent?
",A robotic agent is a non-human agent that perceives its environment through sensors such as cameras and sonar and acts upon that environment through actuators such as robotic arms.,6077
29,6038,chapter_27_1_1,1st midterm,GPT3,From GPT-3 generated summary,"What is the argument from informality?
",The argument from informality says that human behavior is too complex to be captured by any formal set of rules.,6038
30,2682,slp_chapter6_8,midterm_2,T5,GoodSummary,What is a short dense vector called?,embeddings,2682
31,5153,chapter_3_1,1st midterm,GPT3,From raw text,"What is a problem-solving agent?
",A problem-solving agent is an agent that follows a four-phase problem-solving process to find a solution to a problem.,5153
32,2784,chapter2_4,midterm_1,T5,BadSummary,What is in alignment with the utility function?,performance measure,2784
33,995,slp_chapter6_8,midterm_2,GPT3,BadSummary,"How does word2vec avoid the need for any sort of hand-labeled supervision signal?
",Word2vec avoids the need for any sort of hand-labeled supervision signal by learning the probability of a word occurring close to another word.,995
34,6401,chapter_3_3_3,1st midterm,T5,From GPT-3 generated summary,What city does the search tree include a path from?,Arad,6401
35,1764,slp_chapter4_5,midterm_2,GPT3,Fewshot,"What is a good metric when you want to discover something rare?
","When you want to discover something rare, a good metric is precision, which measures the percentage of items that were predicted positive that are actually positive.",1764
36,27,chapter6_5,midterm_1,GPT3,Best Condition - with Davinci,"How does cutset conditioning take o(d^c (n-c)d^time?
",Cutset conditioning takes o(d^c (n-c)d^time by first solving the tree until it is consistent overall and then removing the cycle cutset if it has size c.,27
37,671,slp_chapter7_3,midterm_2,GPT3,GoodSummary,"What are the benefits of using a feedforward network?
","The benefits of using a feedforward network include the ability to model complex nonlinear functions, the ability to learn without requiring a teacher, and the ability to learn from limited data.",671
38,264,slp_chapter5_5,midterm_2,GPT3,Best Condition - with Davinci,"What is l1 regularization?
",L1 regularization is a linear function of the weight values.,264
39,716,slp_chapter6_10,midterm_2,GPT3,GoodSummary,"What is the difference between a high context and a second order occurrence?

","A high context is one in which the context window size is greater than words, while a second order occurrence is one in which the context window size is greater than words.",716
40,2015,chapter5_3,midterm_1,T5,GoodSummary,"Instead of using UTILITY function, what function estimates a state's utility?",EVAL,2015
41,4862,slp_chapter4_4,midterm_2,T5,Best Condition - with Davinci,The natural Bayesian classifier can be viewed as a set of what?,class-specific unigram language models,4862
42,680,slp_chapter7_6,midterm_2,GPT3,GoodSummary,"What is the complexity of the optimization problem in neural networks?
","In neural networks, the optimization problem is a non-convex optimization problem, more complex than for logistic regression.",680
43,6377,chapter_3,1st midterm,T5,From GPT-3 generated summary,What are the simplest types of search algorithms?,"episodic, single agent, fully observable, deterministic, static, discrete, and known environments",6377
44,646,slp_chapter5_1,midterm_2,GPT3,GoodSummary,"What is the advantage of naive bayes over logistic regression?
",The advantage of naive bayes over logistic regression is that naive bayes can work even better on very small data sets.,646
45,6429,chapter_3_4_1,1st midterm,T5,From GPT-3 generated summary,What is the name of the tree where every state has successors?,a uniform tree,6429
46,1143,chapter7_5,midterm_1,GPT3,Zero,"What is the theorem proving process?
",The theorem proving process involves applying rules of inference directly to the sentences in our knowledge base in order to construct a proof of the desired sentence without consulting models.,1143
47,6084,chapter_2_2,1st midterm,GPT3,From GPT-3 generated summary,"What is a performance measure? 
",A performance measure is a measure of an agent’s performance.,6084
48,5685,chapter_2_4_2,1st midterm,T5,From raw text,When does the action not depend on the location?,when the current square is dirty,5685
49,1373,slp_chapter7_3,midterm_2,GPT3,Zero,"What is the input layer in a feedforward network?
",The input layer is a vector that gives a probability distribution across the output nodes.,1373
50,1740,chapter19_5,midterm_2,GPT3,Fewshot,"What are decision lists?
",Decision lists are a way of outlining how pac learning should be applied to a new decision space.,1740
51,1680,SLP_chapter3_2,midterm_2,GPT3,Fewshot,"What is the inverse probability of the test set?
",The inverse probability of the test set is the probability of the test set given the language model.,1680
52,51,chapter7_5,midterm_1,GPT3,Best Condition - with Davinci,"What is deduction?
",Deduction is a process of checking the truth of a given sentence by looking at the truth of its logical consequences.,51
53,2800,chapter3_1,midterm_1,T5,BadSummary,What should a problem solving agent use that refects its performance measures?,action cost function,2800
54,131,SLP_chapter3_1,midterm_2,GPT3,Best Condition - with Davinci,"What is the joint probability of a sequence of events?
",The joint probability of a sequence of events is the probability of all the events occurring together.,131
55,5709,chapter_2_4_4,1st midterm,T5,From raw text,What is an example of a goal-based agent?,a particular destination,5709
56,5049,chapter_1_1_3,1st midterm,GPT3,From raw text,"1.1.what is the approach to rational thinking called?
",1.1.the “laws of thought” approach.,5049
57,3254,chapter5_5,midterm_1,T5,Zero,What simulation can be used to estimate values of nodes?,Monte Carlo,3254
58,2431,chapter19_3,midterm_2,T5,GoodSummary,What is used to see if an attribute is relevant or not?,significance tests,2431
59,5085,chapter_27_1_3,1st midterm,GPT3,From raw text,"What is the problem with lucas's claim?
",The problem with lucas's claim is that an agent should not be ashamed that it cannot establish the truth of some sentence while other agents can.,5085
60,3502,chapter19_2,midterm_2,T5,Zero,What is a tradeoff between?,expressiveness of the hypothesis space and the computational complexity of finding a good hypothesis in the space,3502
61,1532,chapter16_2,midterm_1,GPT3,Fewshot,"What are the constraints on rational preferences?
","There are constraints on rational preferences. for example, if $a > b$, then the agent prefers a over b. if $a < b$, then the agent prefers b over a. if $a \geq b$, then the agent prefers a but is indifferent to b. any preference relation must obey six constraints: orderability, transitivity, continuity, substitutability, monotonicity, and decomposability.",1532
62,2014,chapter5_3,midterm_1,T5,GoodSummary,Why can we cut off search early and apply a heuristic evaluation function to states?,limited computation time,2014
63,1015,chapter2_1,midterm_1,GPT3,Zero,"What are the agent's sensors?
",The agent's sensors are a dirt sensor and a camera for navigation.,1015
64,240,slp_chapter4_10,midterm_2,GPT3,Best Condition - with Davinci,"What is a social group?
","A social group is a group of people who share common characteristics, such as race, gender, or sexual orientation.",240
65,2987,chapter19_2,midterm_2,T5,BadSummary,How many training sets are there?,n,2987
66,4876,slp_chapter4_7,midterm_2,T5,Best Condition - with Davinci,What is the percentage of observations that have been labeled correctly?,accuracy,4876
67,4201,slp_chapter4_10,midterm_2,T5,Fewshot,What are harms caused by a system that demeans a social group called?,Representational harms,4201
68,6021,chapter_1_1_3,1st midterm,GPT3,From GPT-3 generated summary,"What was developed in the 19th century?
","In the 19th century, logicians developed a precise notation for statements about objects in the world and the relations among them.",6021
69,1210,chapter12_5,midterm_2,GPT3,Zero,"What is the formula for calculating the probability of evidence, given a hypothesis?
","The formula for calculating the probability of evidence, given a hypothesis, is p(evidence|hypothesis) = p(hypothesis|evidence)p(evidence) / p(hypothesis).",1210
70,3974,chapter17_1,midterm_2,T5,Fewshot,What is a utility function depending on a sequence of states and actions rather than on a single state?,environment history,3974
71,5041,chapter_1_1,1st midterm,GPT3,From raw text,"What is the human-empirical approach to ai?
",The human-empirical approach to ai is an approach that involves a combination of observations and hypotheses about actual human behavior and thought processes.,5041
72,3120,slp_chapter6_12,midterm_2,T5,BadSummary,All embedding algorithms suffer from what?,inherent variability,3120
73,1837,slp_chapter7_6,midterm_2,GPT3,Fewshot,"What is a neural net?
","A neural net is a model that is composed of many layers of neurons, which are connected to",1837
74,6029,chapter_27,1st midterm,GPT3,From GPT-3 generated summary,"What are the philosophical issues surrounding the development and use of ai?
","The philosophical issues surrounding the development and use of ai include questions about the nature of intelligence and sentience, as well as the",6029
75,3834,chapter3_5,midterm_1,T5,Fewshot,What is the downside of greedy best-first search?,not guaranteed to find the optimal solution,3834
76,155,chapter13_1,midterm_2,GPT3,Best Condition - with Davinci,"What is a directed cycle?
",A directed cycle is a graph with a path that starts and ends at the same node.,155
77,430,chapter16_2,midterm_1,GPT3,GoodSummary,"What is continuity?
","Continuity is the constraint that states that if b is between a and c, then the decision maker can theoretically substitute a with b and c with 1-b.",430
78,3219,chapter3_5,midterm_1,T5,Zero,What type of A* is a version of A* without the requirement to keep all reached states in memory?,Iterative-deepening,3219
79,5001,slp_chapter6_1,midterm_2,T5,Best Condition - with Davinci,What is when two words have a similar but not identical meaning?,Word similarity,5001
80,1693,SLP_chapter3_4,midterm_2,GPT3,Fewshot,"How can we deal with oov words?
",One way to deal with oov words is to choose a vocabulary that is fixed in advance. another way is to convert any oov words to the unknown word token in a text normalization step.,1693
81,1647,chapter12_1,midterm_2,GPT3,Fewshot,"What are the drawbacks of using a correct contigent plan?
",The drawbacks of using a correct contigent plan are that it can grow arbitrarily large and sometimes no plan is guaranteed to achieve the goal.,1647
82,3735,chapter27_1,midterm_1,T5,Fewshot,Which approach posits that machines can act as if they are intelligent?,weak AI approach,3735
83,1588,chapter7_4,midterm_1,GPT3,Fewshot,"What is exclusive or (xor)?
",Exclusive or (xor) is false when both disjuncts are the same.,1588
84,6204,chapter_1_1,1st midterm,T5,From GPT-3 generated summary,What do researchers base AI on?,"human performance, rationality, internal thought processes, or external behavior",6204
85,3750,chapter2_1,midterm_1,T5,Fewshot,What is the vacuum cleaner's agent function?,"pick it up, otherwise move to another square",3750
86,5565,chapter_2_2_3,1st midterm,T5,From raw text,How does the agent act when the environment is completely known a priori and completely predictable?,correct,5565
87,3816,chapter3_3,midterm_1,T5,Fewshot,What does a graph search algorithm search for?,redundant paths,3816
88,2119,chapter7_3,midterm_1,T5,GoodSummary,What is used to derive sentences if KB/premises are true?,sound inferencing,2119
89,1202,chapter12_3,midterm_2,GPT3,Zero,"Questions what is the difference between marginalization and conditioning?
","

marginalization is a marginalization rule for any sets of variables y and z: p(y) = ∑_s p(y,z=z).

conditioning is a conditioning rule for any variable x and evidence variables e: p(x) = ∑_e p(x,e).

what is the general inference procedure for a single variable x, a list of evidence variables e, a list of observed values for them e, and remaining unobserved variables y?
",1202
90,1263,chapter13_3,midterm_2,GPT3,Zero,"What is the best way to improve the efficiency of variable elimination?
",One way to improve the efficiency of variable elimination is to use clust,1263
91,3733,chapter1_1,midterm_1,T5,Fewshot,What type of approach is the fourth and final approach to artificial intelligence?,engineering,3733
92,2078,chapter6_4,midterm_1,T5,GoodSummary,What is a way to place more value on important constraights?,Constraint weighting,2078
93,2766,chapter2_4,midterm_1,T5,BadSummary,What does an agent program take to make a decision?,current percept sequence,2766
94,6346,chapter_2_4_3,1st midterm,T5,From GPT-3 generated summary,What is an agent that uses a transition model and a sensor model to keep track of the state of the world?,model-based reflex agent,6346
95,5155,chapter_3_1,1st midterm,GPT3,From raw text,"What is a solution?
",A solution is a sequence of actions that reaches a goal.,5155
96,793,chapter6_2,midterm_1,GPT3,BadSummary,"What is the runtime graph of ac-3?

",The runtime graph of ac-3 is strongly k-consistent.,793
97,3464,chapter13_1,midterm_2,T5,Zero,What connects pairs of nodes?,Directed links or arrows,3464
98,399,chapter3_5,midterm_1,GPT3,GoodSummary,"What is the proof for a* search?
","A* search is optimal path search. afc that f(n) > c* for some n on optimal path, but f(n) <= g*(n) + h*(n) due to admissibility, a contradiction. a* optimal path nodes are expanded with f(n) < c* and none > c*. every consistent heuristic is admissible. a* with consistent heuristic is optimally efficient (all algos extending from initial with same h(n) must expand surely expanded nodes. can weight h(n) more heavily for",399
99,4543,chapter7_1,midterm_1,T5,Best Condition - with Davinci,What does the KB initially have background knowledge of?,environment,4543
100,6305,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,What is rationality not the same as?,perfection,6305
101,6341,chapter_2_4_1,1st midterm,T5,From GPT-3 generated summary,What must designers construct to build a rational agent?,a table,6341
102,862,SLP_chapter3_7,midterm_2,GPT3,BadSummary,"Can a language model be shrunk by pruning or stored as a hash number instead of a string?
",A language model can be shrunk by pruning or stored as a hash number instead of a string.,862
103,1925,chapter2_1,midterm_1,T5,GoodSummary,What is an implementation of the agent function running on a physical architecture?,An agent program,1925
104,4381,chapter2_2,midterm_1,T5,Best Condition - with Davinci,What is gathering?,Information,4381
105,5082,chapter_27_1_3,1st midterm,GPT3,From raw text,"What are the three properties of the gödel sentence?
","The three properties of the gödel sentence are that it is a sentence of the formal system, that it cannot be proved within the formal system, and that it is true if the formal system is consistent.",5082
106,1284,chapter19_5,midterm_2,GPT3,Zero,"What is the purpose of applying pac learning to new decision spaces?
",The purpose of applying pac learning to new decision spaces is to reduce the number of false positives and false negatives.,1284
107,1812,slp_chapter5_6,midterm_2,GPT3,Fewshot,"How many weight vectors and biases are there in a multinomial logistic regression?
","In a multinomial logistic regression, there are separate weight vectors (and biases) for each of the k classes.",1812
108,2726,chapter1_1,midterm_1,T5,BadSummary,"What does """"Do the right thing"""" mean?",Maximize expected utility,2726
109,2470,chapter19_6,midterm_2,T5,GoodSummary,What is another name for SGD good in online setting where data coming in one at a time?,online gradient descent,2470
110,3679,slp_chapter6_1,midterm_2,T5,Zero,What are three words that can be used to represent the meaning of a word?,"synonymy, word similarity, or word relatedness",3679
111,281,slp_chapter7_3,midterm_2,GPT3,Best Condition - with Davinci,"What is a feedforward network?
",A feedforward network is a multilayer network in which the units are connected with no cycles.,281
112,859,SLP_chapter3_5,midterm_2,GPT3,BadSummary,"What is the difference between simple interpolation and conditional interpolation?
","Simple interpolation mixes the probability estimates from all n-gram estimators, whereas conditional interpolation uses lamb",859
113,6436,chapter_3_4_1,1st midterm,T5,From GPT-3 generated summary,What is a bigger problem for breadth-first search than the memory requirements?,execution time,6436
114,2393,chapter13_3,midterm_2,T5,GoodSummary,Intractable to determine what?,optimal ordering,2393
115,6086,chapter_2_2_2,1st midterm,GPT3,From GPT-3 generated summary,"What is a rational agent?
","A rational agent is an agent that, for each possible percept sequence, selects an action that is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever built-in knowledge the agent has.",6086
116,6307,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,Retreating from a requirement of perfection is not just a question of what?,being fair to agents,6307
117,5897,chapter_3_3_3,1st midterm,T5,From raw text,Some implementations follow up the chain all the way up and do what?,eliminate all cycles,5897
118,5483,chapter_2,1st midterm,T5,From raw text,What type of agent designs do we describe in Chapter 2 of Intelligent Agents?,skeleton,5483
119,860,SLP_chapter3_7,midterm_2,GPT3,BadSummary,"What is a language model?
",A language model is a probabilistic model of a language's grammar.,860
120,5762,chapter_2_4_6,1st midterm,T5,From raw text,"What is almost always a good idea, regardless of the external performance standard?",Improving the model components,5762
121,244,slp_chapter5_1,midterm_2,GPT3,Best Condition - with Davinci,"What is a generative model?
",A generative model is a model that can be used to understand what dogs look like and what cats look like.,244
122,2802,chapter3_1,midterm_1,T5,BadSummary,What type of problem formulation has just the right amount of detail/level of abstraction?,Good,2802
123,6158,chapter_3_3_1,1st midterm,GPT3,From GPT-3 generated summary,"What is the second step of best-first search?
",The second step of best-first search is to generate child nodes and add them to the frontier.,6158
124,676,slp_chapter7_5,midterm_2,GPT3,GoodSummary,"What are the two main advantages of a feedforward neural language model over an n-gram language model?
",A feedforward neural language model can handle much longer histories and can generalize better over contexts of similar words.,676
125,4963,slp_chapter7_3,midterm_2,T5,Best Condition - with Davinci,How do hidden units represent the parameters for the entire hidden layer?,combining the weight vector and bias for each unit into a single weight matrix and a single bias vector,4963
126,4144,chapter19_3,midterm_2,T5,Fewshot,"If there is no uncertainty, what is 0?",entropy,4144
127,2807,chapter3_2,midterm_1,T5,BadSummary,What is the answer to the np-hard Criterion Breadth- Uniform- Depth-lim Iterative-deep Bidirectional,Yes Yes No,2807
128,6449,chapter_3_4_4,1st midterm,T5,From GPT-3 generated summary,What type of search starts with a depth limit of 0 and gradually increases the limit until a solution is found?,iterative deepening search,6449
129,6099,chapter_2_3,1st midterm,GPT3,From GPT-3 generated summary,"Can be asked.
",Finding is the process of finding a,6099
130,981,slp_chapter6_1,midterm_2,GPT3,BadSummary,"What is the meaning of a word?
",The meaning of a word is how we represent the meaning of a word.,981
131,3138,chapter27_1,midterm_1,T5,Zero,The embodied cognition approach stated that it makes no sense to consider what separately?,brain,3138
132,2558,slp_chapter5_1,midterm_2,T5,GoodSummary,What does Sigmoid function maps into?,"[0,1]",2558
133,5126,chapter_2_4,1st midterm,GPT3,From raw text,"What is the agent function?
",The agent function is the mapping from percepts to actions.,5126
134,5214,chapter_3_3_4,1st midterm,GPT3,From raw text,"2
",,5214
135,447,chapter6_3,midterm_1,GPT3,GoodSummary,"What is the difference between commutativity and the order not mattering in csps?
","The difference between commutativity and the order not mattering in csps is that commutativity means that the order does not matter, and the order not mattering means that the order does not matter.",447
136,5152,chapter_3,1st midterm,GPT3,From raw text,"What is the difference between an informed search and a planning search?
","In an informed search, the agent can estimate how far it is",5152
137,1096,chapter6_1,midterm_1,GPT3,Zero,"What is revise(csp, xi, xj)?
",5.,1096
138,5865,chapter_3_3_2,1st midterm,T5,From raw text,What do we need to store the frontier?,data structure,5865
139,4970,slp_chapter7_5,midterm_2,T5,Best Condition - with Davinci,Neural language models can handle what?,longer histories,4970
