graph LR idea_06836ad4_c74f_4e85_9349_1233e24ab495["Retrieval-Augmented Generation (RAG)"] idea_07856daf_d7b1_4f2f_806a_8d278bc29724["Tool-Augmented Language Models and Function Calling"] idea_10780697_1b38_46b2_a40e_d9cf11fc4fea["Matching Review Effort to the Cost of Being Wrong"] idea_121bd062_f9f5_4105_8870_69a4b773a149["Source-Bound Generation: Restricting Output to a Supplied Corpus"] idea_1ae48a6d_c005_4501_90ce_2c48efb26a8e["Autoregressive Language Modeling"] idea_31285c8a_2f7a_4d54_adf7_a4ba10e04cf8["Conversational Agents and Dialogue Systems"] idea_3468920c_916e_4e43_b760_48682e801609["Where Prompt Tricks Still Pay: Small and Local Models"] idea_379428ae_e268_4846_bdb4_c0e39b3ef96f["Error Analysis: Reading Traces Until Failure Modes Stop Appearing"] idea_3a1567e0_7afe_4a98_94dc_4a2961259b46["Hallucination in Large Language Models"] idea_4bace63d_7bd2_4698_98e6_4087d25e9426["In-Context Learning in Large Language Models"] idea_5475bec9_c355_4abb_b94f_1a5ba6e70445["Crafting Effective Prompts"] idea_55f443c4_8d2f_4ddc_a47e_92c40b2f39b0["Large Language Models Predict Next Words Using Transformer Attention Mechanisms"] idea_574f5fd5_6cd5_43bf_a7a1_d6e237178e68["Context Layout and Ordering: Where in the Window Information Lands"] idea_590a7f6b_0d4d_4ae8_97f9_c11f0f8176cf["Improving a Prompt from Its Failure Cases Rather Than by Rewording"] idea_6243d744_1e18_4f90_8de7_ab3faf479ae0["Scoring a Prompt Against a Dataset Instead of Eyeballing One Output"] idea_682b15b0_0254_4a63_ba10_f2b2ad79f962["Task Specification: Job, Audience, Constraints, Output Shape"] idea_69f243a4_2160_461c_bd9e_183f160effa3["Human Evaluation and Rank Correlation in NLP"] idea_6ce292d3_b67b_4b00_a7de_4fcf8668efad["Embedding Words into Continuous Vector Spaces"] idea_6ef966d8_39eb_4ade_b054_072d0c04b117["Vector Similarity Search"] idea_70858fed_77f1_4aae_a5f1_461d53f8cee7["Prompt Engineering for Text Generation"] idea_72ff22f1_2603_4c64_8d5a_961e1c743c0d["Role-Play Persona Preambles in Prompts"] idea_75d76a55_fcd9_409e_8563_d94cdca1e5f2["Token Embeddings"] idea_75eadcef_5cba_4275_bc42_9f033f3d2db1["Hallucination Risk and Verification in AI Research Workflows"] idea_7a8d4fe5_fe6c_4e5f_af88_3befe037159d["Tokenization Splits Text Into the Discrete Units a Language Model Predicts"] idea_7af7b4aa_7e47_4e1c_b4d8_644210b59b73["Assembling a Small Labelled Eval Set Before a Prompt Reaches Production"] idea_7bc25a59_760a_40fc_a35f_f1abe8b646ce["Gradient Descent Minimizes a Loss Function by Iteratively Adjusting Parameters"] idea_7c6e3312_39e9_4c8d_81e3_5deef1c1bdef["Evaluating Information Sources"] idea_7cc885db_efcb_42ab_9f31_f8f60361ce13["Machine-Checkable Output Contracts for Generated Text"] idea_8022f932_1949_4e67_b260_0ef96b3a9833["Worked Examples in the Prompt as a Specification of the Output You Want"] idea_844f43d7_914b_4db3_9ce9_c8465d1edf5b["Temperature and Sampling in Language Model Decoding"] idea_885a21d3_8eb3_4f6c_bfaf_4e13887dab30["Large Language Models in Natural Language Processing"] idea_8b35329c_118a_4eb5_8753_c662d1764c1d["Sycophancy in Large Language Models"] idea_9e850fc7_1bb8_446f_87ce_0c69820e8be3["Chain-of-Thought Prompting"] idea_a05b6c06_845a_4937_9547_046c50370c18["Supervised Learning Trains Models on Human-Labeled Examples"] idea_a0cbff8d_8eb1_44c4_830c_aa1fc57a7406["Chunking and Retrieval Quality as the Ceiling on a Grounded Answer"] idea_a3511a9f_2b80_4e79_a350_56cafbfffb55["NotebookLM as a Closed-Corpus Research Assistant"] idea_a46f535d_5589_4ba4_b05b_02033d3eb1c4["Magic Phrases and Incentive Framing in Prompts"] idea_a6e51ca8_d43a_46a5_9877_40057535d045["Chain-of-Thought as a Model Behaviour You Can Read, Not a Phrase You Type"] idea_abab9876_ac44_4909_9af5_70b218d94856["LLM-Based Autonomous Agents"] idea_ac139dc6_24ed_4497_8ab4_5fa145517c00["Guarding Against Regression When a Prompt or Model Changes"] idea_ae8cec40_76b6_4a23_8d30_28f36bb7044b["Uncertainty Estimation in Large Language Models"] idea_af772c38_a6cb_4280_8391_56de7dcdfca4["Compaction: Summarising a Long Session to Reclaim Context"] idea_af7a2614_3565_40e3_86ee_cd9bb0f2c2b4["Self-Refinement in Large Language Models"] idea_c06415a2_e789_4b92_9cab_dd41b563621e["Neural Networks Transform Inputs Through Layers of Weighted Connections"] idea_c0bffcc3_2128_4bdd_a70a_c2b7f90c4c71["Controlling Reasoning Effort Instead of Scripting the Reasoning"] idea_c38797a0_78cc_4e59_b24a_aab4ec8f6696["Corpus Poisoning and Prompt-Injection Attacks on Retrieval Systems"] idea_c807ca92_5ef7_40eb_b51a_3a86fc70b887["Contextual Meaning Refinement via Attention Mechanisms in NLP"] idea_c9e39c57_1950_4be1_98a5_b972a800b9d4["The Context Window as a Finite Budget You Spend"] idea_d09a3be6_d61f_4ad5_ae7f_5edb8905cb40["Greedy Decoding and Its Degeneration into Repetition"] idea_d5c16cf8_9c6d_432d_9e26_a96408e1abc9["Token-Efficient Prompt Engineering Strategies"] idea_da5c8033_649d_4891_978f_36b71fbb2876["Context Engineering as the Successor to Prompt Engineering"] idea_dbc5ceef_7fc2_4593_a5fb_f9a956af5678["Retrieval Augmented Generation for Company Research Briefs"] idea_df3f54f5_7501_4c83_918e_b95bf0b9cf42["Transformer Architecture: Attention, Embeddings, and Feed-Forward Blocks"] idea_e018b878_026e_4f0c_bbf5_7e850071317b["Context Rot: Accuracy Decay Well Before the Window Is Full"] idea_e7adf030_a03d_4cc2_ae37_af0f15173470["Long-Context Language Modeling"] idea_eaadaa1b_258e_4253_be1a_9cb991020536["Confidence Calibration in Classification Models"] idea_f2c2d9bc_b79c_4448_a488_de307afc475f["Checking That a Citation Supports the Sentence Attached to It"] idea_f64ea206_de20_452b_9f22_0c049fdd60fd["Automatic Evaluation Metrics for Natural Language Generation"] idea_f893ab1d_9edb_41ea_bcb4_544e1953a96f["Model Context Protocol as a Standard Way to Hand a Model Tools"] idea_f93b7a5a_f934_46e6_903b_5fa7df4d8a67["LLM-as-Judge Grading Calibrated Against Human Labels"] idea_fc6274e1_61ae_4e21_af55_b03d190109f0["Automatic Evaluation and Benchmarking of Large Language Models"] idea_682b15b0_0254_4a63_ba10_f2b2ad79f962 --> idea_a46f535d_5589_4ba4_b05b_02033d3eb1c4 idea_9e850fc7_1bb8_446f_87ce_0c69820e8be3 --> idea_c0bffcc3_2128_4bdd_a70a_c2b7f90c4c71 idea_885a21d3_8eb3_4f6c_bfaf_4e13887dab30 --> idea_55f443c4_8d2f_4ddc_a47e_92c40b2f39b0 idea_75eadcef_5cba_4275_bc42_9f033f3d2db1 --> idea_10780697_1b38_46b2_a40e_d9cf11fc4fea idea_d5c16cf8_9c6d_432d_9e26_a96408e1abc9 --> idea_da5c8033_649d_4891_978f_36b71fbb2876 idea_5475bec9_c355_4abb_b94f_1a5ba6e70445 --> idea_72ff22f1_2603_4c64_8d5a_961e1c743c0d idea_6243d744_1e18_4f90_8de7_ab3faf479ae0 --> idea_f64ea206_de20_452b_9f22_0c049fdd60fd idea_9e850fc7_1bb8_446f_87ce_0c69820e8be3 --> idea_3468920c_916e_4e43_b760_48682e801609 idea_c9e39c57_1950_4be1_98a5_b972a800b9d4 --> idea_d5c16cf8_9c6d_432d_9e26_a96408e1abc9 idea_5475bec9_c355_4abb_b94f_1a5ba6e70445 --> idea_8022f932_1949_4e67_b260_0ef96b3a9833 idea_121bd062_f9f5_4105_8870_69a4b773a149 --> idea_a3511a9f_2b80_4e79_a350_56cafbfffb55 idea_3a1567e0_7afe_4a98_94dc_4a2961259b46 --> idea_8b35329c_118a_4eb5_8753_c662d1764c1d idea_31285c8a_2f7a_4d54_adf7_a4ba10e04cf8 --> idea_72ff22f1_2603_4c64_8d5a_961e1c743c0d idea_af7a2614_3565_40e3_86ee_cd9bb0f2c2b4 --> idea_10780697_1b38_46b2_a40e_d9cf11fc4fea idea_55f443c4_8d2f_4ddc_a47e_92c40b2f39b0 --> idea_844f43d7_914b_4db3_9ce9_c8465d1edf5b idea_e7adf030_a03d_4cc2_ae37_af0f15173470 --> idea_c38797a0_78cc_4e59_b24a_aab4ec8f6696 idea_6243d744_1e18_4f90_8de7_ab3faf479ae0 --> idea_69f243a4_2160_461c_bd9e_183f160effa3 idea_df3f54f5_7501_4c83_918e_b95bf0b9cf42 --> idea_55f443c4_8d2f_4ddc_a47e_92c40b2f39b0 idea_574f5fd5_6cd5_43bf_a7a1_d6e237178e68 --> idea_e018b878_026e_4f0c_bbf5_7e850071317b idea_c807ca92_5ef7_40eb_b51a_3a86fc70b887 --> idea_55f443c4_8d2f_4ddc_a47e_92c40b2f39b0 idea_590a7f6b_0d4d_4ae8_97f9_c11f0f8176cf --> idea_ac139dc6_24ed_4497_8ab4_5fa145517c00 idea_ae8cec40_76b6_4a23_8d30_28f36bb7044b --> 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