,Unnamed: 0,Chapter,Midterm,Model,Condition,Question,Answer,questionId
0,496,chapter17_2,midterm_2,GPT3,GoodSummary,"What is policy iteration?
",Policy iteration is a decision making algorithm that uses the bellman equation to find exact solutions offline.,496
1,4325,slp_chapter6_11,midterm_2,T5,Fewshot,What is the process of reducing bias in embeddings?,Debiasing,4325
2,5640,chapter_2_3_2,1st midterm,T5,From raw text,What does chess have a discrete set of?,percepts and actions,5640
3,2543,slp_chapter5_1,midterm_2,T5,GoodSummary,What is Naive Bayes?,generative classifier,2543
4,1205,chapter12_4,midterm_2,GPT3,Zero,"What is the relationship between independence and complexity?
",Independence can help reduce the size of the domain representation and complexity of the inference problem.,1205
5,537,chapter12_4,midterm_2,GPT3,GoodSummary,"What is the advantage of using independence?
",The advantage of,537
6,6015,chapter_1_1_1,1st midterm,GPT3,From GPT-3 generated summary,"What has ai research devoted little effort to?
","Ai research has devoted little effort to passing the turing test, preferring to study the underlying principles of intelligence.",6015
7,6342,chapter_2_4_1,1st midterm,T5,From GPT-3 generated summary,What is the key challenge for AI?,find out how to write programs,6342
8,2235,chapter22_2,midterm_2,T5,GoodSummary,Direct learning misses opportunity for learning by ignoring what?,connection between states,2235
9,3074,slp_chapter9_2,midterm_2,T5,BadSummary,How do Neural LMs learn the word vectors?,Simultaneously learn the word vectors and the parameters of the function,3074
10,1727,chapter19_2,midterm_2,GPT3,Fewshot,"What is the bias-variance tradeoff?
",The bias-variance tradeoff is the tradeoff between the complexity of the hypothesis space and the computational complexity of finding a good hypothesis in that space.,1727
11,5230,chapter_3_4_6,1st midterm,GPT3,From raw text,"What is the difference between depth-first search and breadth-first search?
",Depth-first search explores the current node before exploring any other nodes. breadth-first search explores all of the children before exploring any other nodes.,5230
12,4712,SLP_chapter3_1,midterm_2,T5,Best Condition - with Davinci,What assumption states that the probability of the current state is dependent only on the current state and not the previous states?,Markov assumption,4712
13,3127,chapter1_1,midterm_1,T5,Zero,What is the third approach to creating AI?,think rationally,3127
14,5624,chapter_2_3_2,1st midterm,T5,From raw text,Many classification tasks are what?,episodic,5624
15,1147,chapter7_5,midterm_1,GPT3,Zero,"What is monotonicity?
",Monotonicity is a property that states that the set of entailed sentences can only increase as information is added to the knowledge base.,1147
16,3018,slp_chapter4_9,midterm_2,T5,BadSummary,What function returns p-value(x)?,BOOTSTRAP,3018
17,4043,chapter12_4,midterm_2,T5,Fewshot,Independence assertions are usually based on what?,knowledge of the domain,4043
18,2518,slp_chapter4_8,midterm_2,T5,GoodSummary,What can be used to get more data?,cross-validation,2518
19,3285,chapter6_2,midterm_1,T5,Zero,What is used to make a CSP problem arc-consistent?,AC-3 algorithm,3285
20,1335,slp_chapter5_1,midterm_2,GPT3,Zero,"What is a generative model?
",A generative model is one that can generate new examples from a given set of training data.,1335
21,6036,chapter_27_1,1st midterm,GPT3,From GPT-3 generated summary,"What is human-level ai/general ai?
","Human-level ai/general ai is a program that can solve an arbitrarily wide variety of tasks, including novel ones, and do so as well as a human.",6036
22,5544,chapter_2_2_3,1st midterm,T5,From raw text,What is the name of the area where an old friend crosses the street?,Champs Elysées,5544
23,3827,chapter3_4,midterm_1,T5,Fewshot,What is a search algorithm that uses early goal testing?,DFS,3827
24,1885,slp_chapter6_12,midterm_2,GPT3,Fewshot,"What is intrinsic evaluation?
","Intrinsic evaluation is a type of evaluation metric used to evaluate vector models, in which the performance of the model is tested on similarity tasks.",1885
25,3108,slp_chapter6_11,midterm_2,T5,BadSummary,What is a system alloharm that cates resources (jobs or credit) unfairly to different groups?,allocational harm,3108
26,983,slp_chapter6_1,midterm_2,GPT3,BadSummary,"What is word similarity?
",Word similarity is how similar two words are.,983
27,2152,chapter16_1,midterm_2,T5,GoodSummary,"What formalizes that an agent should do the right thing, but doesn't operationalize the advice?",MEU principle,2152
28,5592,chapter_2_3,1st midterm,T5,From raw text,What is the first step in designing an agent?,specify the task environment as fully as possible,5592
29,718,slp_chapter6_11,midterm_2,GPT3,GoodSummary,"What is an embedding?
",An embedding is an implicit bias that is embedded in texts.,718
30,1038,chapter3_2,midterm_1,GPT3,Zero,"What is np-complete?
",The 8-puzzle is np-complete.,1038
31,1432,slp_chapter6_11,midterm_2,GPT3,Zero,"What is allocational harm?
",Allocational harm is when a system allocates resources unfairly to different groups.,1432
32,6053,chapter_27_1_4,1st midterm,GPT3,From GPT-3 generated summary,"What is required for a program to pass the test?
","A program must have a conversation (via typed messages) with an interrogator for five minutes, after which the interrogator must guess if the conversation was with a program or a person.",6053
33,5832,chapter_3_1_1,1st midterm,T5,From raw text,The state space can be represented as a graph in which what are states and the directed edges between them are actions?,vertices,5832
34,5185,chapter_3_3_3,1st midterm,GPT3,From raw text,"3.3.what is a cycle?
",3.3.a cycle is a special case of a redundant path.,5185
35,4679,chapter12_3,midterm_2,T5,Best Condition - with Davinci,What can be used to extract the distribution over some subset of variables?,marginalization and conditioning rules,4679
36,4729,SLP_chapter3_4,midterm_2,T5,Best Condition - with Davinci,What is one implication of the n-gram model?,the probabilities often encode specific facts about a given training corpus,4729
37,6163,chapter_3_3_2,1st midterm,GPT3,From GPT-3 generated summary,"What determines what an optimal solution is?
",What constitutes an optimal solution depends on the objective function being minimized.,6163
38,2086,chapter6_5,midterm_1,T5,GoodSummary,How can we solve a tree?,topological,2086
39,1067,chapter5_2,midterm_1,GPT3,Zero,"What is the minmax algorithm?
",The minmax algorithm computes the minmax decision for state s through recursion.,1067
40,6311,chapter_2_2_3,1st midterm,T5,From GPT-3 generated summary,What would an agent's percept sequence not tell it about?,large truck approaching at high speed,6311
41,509,chapter22_3,midterm_2,GPT3,GoodSummary,"What is more flexible, q-learning or sarsa?
",Q-learning is more flexible than sarsa.,509
42,1202,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
43,3294,chapter6_2,midterm_1,T5,Zero,What is the complexity of AC-3?,n,3294
44,1739,chapter19_5,midterm_2,GPT3,Fewshot,"What is the difference between consistency and probably approximately correct (pac) hypotheses?
",A consistent hypothesis is one that is consistent with a sufficiently large set of training examples.,1739
45,3784,chapter2_4,midterm_1,T5,Fewshot,What is it possible to have in very simple scenarios?,table driven agent,3784
46,5144,chapter_2_4_4,1st midterm,GPT3,From raw text,"What is the difference between a model-based reflex agent and a goal-based agent?
","A model-based reflex agent uses a model to choose actions, while a goal-based agent uses both current state and goal information to choose actions.",5144
47,1702,chapter13_1,midterm_2,GPT3,Fewshot,"What is a bayesian network?
",A bayesian network is a directed graph in which each node is annotated with quantitative probability information.,1702
48,5310,chapter_1_1_4,1st midterm,T5,From raw text,What methods allowed the creation of agents that could make decisions under uncertainty to attain the best expected outcome?,probability theory and machine learning,5310
49,6151,chapter_3_3,1st midterm,GPT3,From GPT-3 generated summary,"What is the difference between the state space and the search tree?
","The state space is the set of all possible states that a problem could be in, and the search tree is the set of all possible paths that could be taken to reach a goal state.",6151
50,1607,chapter16_2,midterm_2,GPT3,Fewshot,"What is continuity?
",Continuity is the requirement that preferences be continuous.,1607
51,4567,chapter7_5,midterm_1,T5,Best Condition - with Davinci,What is true in all models?,True,4567
52,3401,chapter12_2,midterm_2,T5,Zero,What are sets of possible worlds for specific event?,Events,3401
53,3398,chapter12_1,midterm_2,T5,Zero,What is the criterion for rationality?,MEU,3398
54,5084,chapter_27_1_3,1st midterm,GPT3,From raw text,"What is the most famous example of the incompleteness theorem?
",The most famous example of the incompleteness theorem is gödel's theorem.,5084
55,6173,chapter_3_4,1st midterm,GPT3,From GPT-3 generated summary,"What is an uninformed search algorithm?
",An uninformed search algorithm is given no clue about how close a state is to the goal(s).,6173
56,2601,slp_chapter5_5,midterm_2,T5,GoodSummary,What term is added to avoid overfitting?,Regularization term,2601
57,719,slp_chapter6_11,midterm_2,GPT3,GoodSummary,"What leads to allocation harm?
",Bias amplification actually occurs in vectors.,719
58,754,chapter3_4,midterm_1,GPT3,BadSummary,"What is the difference between bfs and dfs?
","The difference between bfs and dfs is that bfs uses late goal testing, and dfs uses early goal testing.",754
59,4195,slp_chapter4_9,midterm_2,T5,Fewshot,"What is the probability, assuming the null hypothesis H0 is true, of seeing the value of?? (x) that we found?",p-value,4195
60,306,slp_chapter9_3,midterm_2,GPT3,Best Condition - with Davinci,"How do we train a classifier to distinguish those two cases?
",We train a classifier to distinguish those two cases by using logistic regression.,306
61,3104,slp_chapter6_8,midterm_2,T5,BadSummary,What are the embeddings of Word2vec?,learned weights,3104
62,329,slp_chapter6_4,midterm_2,GPT3,Best Condition - with Davinci,"What is the dot product of the vectors and ?
",The dot product of the vectors and is,329
63,1318,slp_chapter4_7,midterm_2,GPT3,Zero,"What is a gold label?
",A gold label is a human-defined label that we are trying to match up to system output.,1318
64,4686,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
65,845,chapter12_3,midterm_2,GPT3,BadSummary,"P(x|e) = α ∑_y p(x,e,y)
","P(x|e) = α ∑_y p(x,e,y)",845
66,2164,chapter16_3,midterm_2,T5,GoodSummary,What is not proportional to monetary value?,Utility,2164
67,4530,chapter6_3,midterm_1,T5,Best Condition - with Davinci,What is the process of checking whether each unassigned variable is consistent with the one chosen for the variable it is connected to?,forward checking,4530
68,1834,slp_chapter7_5,midterm_2,GPT3,Fewshot,"What are the advantages of neural language models over n-gram models?
","Neural language models have several advantages over n-gram models. they can handle longer histories, generalize better over contexts of similar words, and are more accurate at word-prediction.",1834
69,6439,chapter_3_4_2,1st midterm,T5,From GPT-3 generated summary,What is used to find the shortest path between two nodes?,Dijkstra's algorithm,6439
70,4807,chapter19_3,midterm_2,T5,Best Condition - with Davinci,What is the uncertainty of a random variable?,0,4807
71,28,chapter6_5,midterm_1,GPT3,Best Condition - with Davinci,"What is the tree decomp approach?
","The tree decomp approach is an alternative to cutset conditioning that takes o(nd^{w+1}) time.

question",28
72,2932,chapter12_3,midterm_2,T5,BadSummary,What is the knowledge base from which answers to all questions may be derived?,full joint distribution,2932
73,6336,chapter_2_4,1st midterm,T5,From GPT-3 generated summary,Chapters 25 and 26 of the book focus on what?,sensors and actuators,6336
74,2833,chapter16_1,midterm_1,T5,BadSummary,What captures agent's preferences?,utility function,2833
75,3587,slp_chapter4_10,midterm_2,T5,Zero,What can representational harms lead to?,"devaluation, isolation, and powerlessness",3587
76,3037,slp_chapter5_5,midterm_2,T5,BadSummary,What is the name of the function that prefers sparse solutions with some larger weights but many more weights set to zero?,Laplace prior,3037
77,6457,chapter_3_4_6,1st midterm,T5,From GPT-3 generated summary,What algorithm expands nodes in order of increasing depth from the root?,Breadth-first search,6457
78,1120,chapter7_1,midterm_1,GPT3,Zero,"What is a successful agent?
",A successful agent has both declarative and procedural setup.,1120
79,165,chapter13_3,midterm_2,GPT3,Best Condition - with Davinci,"What is the time complexity of exact inference in polytrees?
",The time complexity of exact inference in polytrees is linear in the size of the network.,165
80,12,chapter6_2,midterm_1,GPT3,Best Condition - with Davinci,"What is the solution of the csp after ac-3?

",The solution of the csp after ac-3 is the same as the solution of the csp before ac-3.,12
81,5104,chapter_2,1st midterm,GPT3,From raw text,"What is an intelligent agent?
",An intelligent agent is a system that behaves rationally.,5104
82,5363,chapter_27_1,1st midterm,T5,From raw text,Who was the first person to define AI?,Alan Turing,5363
83,3302,chapter6_3,midterm_1,T5,Zero,What chooses the next value to examine based on the value that rules out the fewest choices for the neighboring variables in the constraint graph?,The least-constraining-value heuristic,3302
84,6454,chapter_3_4_5,1st midterm,T5,From GPT-3 generated summary,"If the path cost is the evaluation function, what is the best solution found so far?",tracked,6454
85,4187,slp_chapter4_7,midterm_2,T5,Fewshot,What measures the percentage of items that the system detected that are in fact positive?,Precision,4187
86,4538,chapter6_5,midterm_1,T5,Best Condition - with Davinci,What is an alternative to cutset conditioning that takes O(nd?? w+1?? ) time?,Tree decomp,4538
87,5147,chapter_2_4_6,1st midterm,GPT3,From raw text,"What is the design of the learning element dependent on in the design of the performance element?
","The design of the learning element is dependent on the design of the performance element. when trying to design an agent that learns a certain capability, the first",5147
88,4012,chapter22_3,midterm_2,T5,Fewshot,What must the agent do in active reinforcement learning?,figure out which actions to take,4012
89,5227,chapter_3_4_5,1st midterm,GPT3,From raw text,"How does bidirectional search differ from iterative deepening search?
","Unlike iterative deepening search, bidirectional search does not necessarily expand the optimal path from the initial state.",5227
90,6461,chapter_3_4_6,1st midterm,T5,From GPT-3 generated summary,Breadth-first search expands nodes in order of increasing depth from the root.,the root is expanded first,6461
91,4234,slp_chapter5_6,midterm_2,T5,Fewshot,What type of regression is used when there are more than two classes?,Multinomial logistic regression,4234
92,1513,chapter5_2,midterm_1,GPT3,Fewshot,"What is the runtime of the minmax algorithm?
","The runtime of the minmax algorithm is o(b^d), where b is the number of legal moves and d is the depth of the game tree.",1513
93,593,chapter19_4,midterm_2,GPT3,GoodSummary,"What four reasons can there be for the h* function being different from the true function?
","The h* function can be different from the true function for four reasons: unrealizability, variance, noise, and computational complexity.",593
94,1224,SLP_chapter3_1,midterm_2,GPT3,Zero,"What are the probabilities in an n-gram model?
",The probabilities in an n-gram model are the probabilities of the n-grams in the dataset.,1224
95,506,chapter22_3,midterm_2,GPT3,GoodSummary,"What is the difference between on-policy and off-policy?
","On-policy means that the agent is following a policy that was set by the previous actions or decisions of the agent, whereas off-policy means that the agent is not following a policy that was set by the previous actions or decisions of the agent.",506
96,926,slp_chapter4_7,midterm_2,GPT3,BadSummary,"* can use confusion matrix to plot roc curve 
* roc curve shows the relationship between precision and recall
questions to ","
what are gold labels? 
how can we build a confusion matrix for a visualizing how an algorithm performs with respect to gold labels? 
what is accuracy? 
what is precision? 
what is recall? 
what is f-me",926
97,1481,chapter3_1,midterm_1,GPT3,Fewshot,"What is goal formulation?
",Goal formulation is the process of adopting a goal and using it to limit objectives and organize behavior/actions.,1481
98,2768,chapter2_4,midterm_1,T5,BadSummary,How many sets of possible percepts for a lookup table are there?,too many,2768
99,32,chapter7_1,midterm_1,GPT3,Best Condition - with Davinci,"What does the agent need to specify at the knowledge level?
",The agent needs to specify what the agent knows and its goals at the knowledge level.,32
100,6287,chapter_2_2,1st midterm,T5,From GPT-3 generated summary,Who wrote a warning to ensure that “the purpose put into the machine is the purpose which we really desire”?,Norbert Wiener,6287
101,3997,chapter22_1,midterm_2,T5,Fewshot,Where can a little bit of experience be helpful for reinforcement learning?,simulated environments,3997
102,5183,chapter_3_3_3,1st midterm,GPT3,From raw text,"3.3.what is a repeated state in the search tree?
",3.3.a repeated state is a state that is reached by a loopy path.,5183
103,211,slp_chapter4_4,midterm_2,GPT3,Best Condition - with Davinci,"What is a natural bayesian classifier?
",A natural bayesian classifier is a set of class-specific unigram language models.,211
104,2373,chapter13_2,midterm_2,T5,GoodSummary,"What property : Each variable is conditionally independent of its non-descendants, given its parents?",Non-desenceds property,2373
105,785,chapter16_3,midterm_1,GPT3,BadSummary,"What is normalized utilities?
",Normalized utilities use a scare of 0 to with 0 being the worst possible thing and 1 being the best possible outcome.,785
106,895,chapter19_4,midterm_2,GPT3,BadSummary,"What is split data into training and test set?
","Split data into training and test set is to take 1/2 of the data and use it as the training set, 1/2 of the data and use it as the test set.",895
107,3207,chapter3_4,midterm_1,T5,Zero,What is the main difference between the three algorithms?,order in which they search the nodes,3207
108,6171,chapter_3_3_4,1st midterm,GPT3,From GPT-3 generated summary,"What is required for an algorithm to be complete?
","In order for an algorithm to be complete, it must be systematic in its exploration of an infinite state space, making sure that it can eventually reach any state that is connected to the initial state.",6171
109,416,chapter5_5,midterm_1,GPT3,GoodSummary,"What is a stochastic game?
",A stochastic game is a game where the outcome is not deterministic and depends on chance.,416
110,5041,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
111,71,chapter17_1,midterm_2,GPT3,Best Condition - with Davinci,"What is a sequential decision problem?
",A sequential decision problem is a problem in which an agent begins in the start state and must choose an action at each time step.,71
112,3512,chapter19_3,midterm_2,T5,Zero,What can be used to eliminate irrelevant nodes?,decision tree pruning,3512
113,6030,chapter_27,1st midterm,GPT3,From GPT-3 generated summary,"What are the ethical implications of the advancement of ai?
","The ethical implications of the advancement of ai include questions about the consequences of creating intelligent machines, and the",6030
114,1587,chapter7_4,midterm_1,GPT3,Fewshot,"What are the rules?
",The rules are expressed in truth tables that specify the values of complex sentences.,1587
115,3654,slp_chapter7_5,midterm_2,T5,Zero,What is the task of running a forward pass on the network to produce a probability distribution over possible outputs?,Forward inference,3654
116,962,slp_chapter7_4,midterm_2,GPT3,BadSummary,"What are some of the benefits of using pretrained embedding representations, rather than starting from scratch?
",One benefit of using pretrained embedding representations is that it reduces the amount of time it takes to train the model. it also reduces the amount of time it takes to evaluate the model. another benefit is that it reduces the amount of data that is needed.,962
117,2729,chapter27_2,midterm_1,T5,BadSummary,"What is the usual to have polite convention that everyone thinks - Searle rejects polite convention: Chinese room does same as computer,",Turing,2729
118,887,chapter19_3,midterm_2,GPT3,BadSummary,"4.can a decision tree often be very intuitive with interpretable results?
",4.a decision tree can often be very intuitive with interpretable results.,887
119,2815,chapter3_4,midterm_1,T5,BadSummary,Who can use early goal testing?,bfs,2815
120,4032,chapter12_1,midterm_2,T5,Fewshot,What provides a way of summarizing the uncertainly that comes from our laziness and ignorance?,Probability theory,4032
121,5654,chapter_2_3_2,1st midterm,T5,From raw text,What starts out knowing nothing about the personal preferences of its new owner?,virtual personal assistant,5654
122,5132,chapter_2_4_1,1st midterm,GPT3,From raw text,"What are the four basic kinds of agent programs that embody the principles underlying all intelligent systems?
","The four basic kinds of agent programs are simple reflex agents, model-based reflex agents, goal-based agents, and utility-based agents.",5132
123,2177,chapter17_1,midterm_2,T5,GoodSummary,"If R > 0, avoids both exits. Policies for infinite horizenor simpler, as optimal policy is stationary.",life good,2177
124,920,slp_chapter4_5,midterm_2,GPT3,BadSummary,"What is a threshold?
",A threshold can be set to ignore predictions below a certain threshold,920
125,2194,chapter17_2,midterm_2,T5,GoodSummary,What is the Bellman update a contraction by?,a factor of gamma,2194
126,6277,chapter_2_1,1st midterm,T5,From GPT-3 generated summary,What is an agent perceiving its environment through?,sensors,6277
127,1736,chapter19_4,midterm_2,GPT3,Fewshot,"What is the optimal hypothesis class?
",The optimal hypothesis class is the class of hypotheses that minimizes the error rate.,1736
128,63,chapter16_2,midterm_2,GPT3,Best Condition - with Davinci,"What is substitutability?
",Substitutability is the constraint on rational preferences that requires that preferences be substitutable.,63
129,29,chapter7_1,midterm_1,GPT3,Best Condition - with Davinci,"What is a knowledge base?
",A knowledge base is a collection of sentences in a knowledge representation language which tell information about the world.,29
130,723,slp_chapter6_12,midterm_2,GPT3,GoodSummary,"What is the most important metric for intrinsic evaluation? 
",The most important metric for intrinsic evaluation is performance on a gold-standard.,723
131,6082,chapter_2_2,1st midterm,GPT3,From GPT-3 generated summary,"What is the one notion of the ""right thing"" that ai has generally stuck to? 
","Ai has generally stuck to one notion of the ""right thing"" called consequentialism.",6082
132,6337,chapter_2_4_1,1st midterm,T5,From GPT-3 generated summary,The agent programs that we design in this book all have the same skeleton: they take what as input from the sensors and return an action to the,current percept,6337
133,6050,chapter_27_1_3,1st midterm,GPT3,From GPT-3 generated summary,"What is the third false assumption made in the claim that machines are mentally inferior to humans?
",The third false assumption made in the claim that machines are mentally inferior to humans is that humans can change their minds while computers cannot.,6050
134,5781,chapter_3,1st midterm,T5,From raw text,What is an example of a problem-solving agent looking ahead to find a sequence of actions that will eventually achieve its goal?,Solving Problems by Searching,5781
135,515,chapter12_1,midterm_2,GPT3,GoodSummary,"What is the rational decision depends on both the relative importance of various goals and the likelihood that, and degree, they will be achieved? 
","The rational decision depends on both the relative importance of various goals and the likelihood that, and degree, they will be achieved.
",515
136,850,chapter12_4,midterm_2,GPT3,BadSummary,"What is a connection between two variables?
",A connection between two variables is any path between them that does not go through an independency.,850
137,4655,chapter12_1,midterm_2,T5,Best Condition - with Davinci,How do problem-solving and logical agents handle uncertainty?,by keeping track of a belief state and generating a contingency plan,4655
138,5487,chapter_2_1,1st midterm,T5,From raw text,What inputs does a software agent receive?,keyboard/mouse/touchscreen/voice,5487
139,4993,slp_chapter9_3,midterm_2,T5,Best Condition - with Davinci,How do we get dense vectors?,train a classifier,4993
