[ WebToolTip com ] Udemy - Recursive Language Models and Advanced LLM Architectures


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Torrent File Content (128 files)


[ WebToolTip.com ] Udemy - Recursive Language Models and Advanced LLM Architectures
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180 bytes

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          1 - Section 1 The Architecture Landscape and Your Bench/1 - Course Documents and How to Use Them.mp4 -
28.96 MB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D01_Reading_an_Architecture_Papers_Claim_Checklist_and_Worked_Examples.docx -
26.37 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D02_Fair_Architecture_Comparison_Protocol_Rules_bench_py_Harness_and_Pre_Run_Checklist.docx -
25.51 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D03_CPU_Lab_Bench_Setup_and_Reproducibility_Checklist.docx -
25.11 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D04_Recursion_in_Neural_Networks_Field_Guide_Tree_Networks_Looped_Depth_and_RLMs.docx -
24.18 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D05_Recursive_Language_Models_in_Practice_Minimal_Loop_Trace_Reading_Safe_REPL.docx -
24.29 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D06_Attention_Cost_and_KV_Cache_Sizing_Worksheet.docx -
21.79 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D07_State_Space_Linear_Recurrent_and_Hybrid_Models_Reference_Card.docx -
22.57 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D08_Mixture_of_Experts_Design_and_Router_Health_Checklist.docx -
23.75 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D09_RAG_Pipeline_Evaluation_Template_Labelled_Set_Retrieval_Metrics_Faithfulness.docx -
22.93 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D10_Results_Table_and_Experiment_Log_Template.docx -
21.31 KB

          1 - Section 1 The Architecture Landscape and Your Bench/1 - D11_Architecture_Selection_Report_Template_with_the_Capstone_Worked_Example.docx -
22.58 KB

          1 - Section 1 The Architecture Landscape and Your Bench/10 - Section 1 Wrap The Map, the Bench and the Rules of Fair Measurement.mp4 -
11.67 MB

          1 - Section 1 The Architecture Landscape and Your Bench/2 - Section 1 Intro Why Look Past the Plain Transformer.mp4 -
7.36 MB

          1 - Section 1 The Architecture Landscape and Your Bench/3 - What Advanced Architecture Means in 2026 Attention, Recurrence, Sparsity.mp4 -
33.28 MB

          1 - Section 1 The Architecture Landscape and Your Bench/4 - Three Meanings of Recursive Tree Networks, Looped Depth and RLMs.mp4 -
14.55 MB

          1 - Section 1 The Architecture Landscape and Your Bench/5 - The Quadratic Wall Where Attention's Cost and the KV Cache Actually Bite.mp4 -
22.52 MB

          1 - Section 1 The Architecture Landscape and Your Bench/6 - Reading a Paper's Claim Correctly Hardware, Scale, Setup and Version.mp4 -
25.06 MB

          1 - Section 1 The Architecture Landscape and Your Bench/7 - [LAB] The Bench 8 CPUs, No GPU — Measuring What This Machine Can Do.mp4 -
17.53 MB

          1 - Section 1 The Architecture Landscape and Your Bench/8 - [LAB] Building the Lab Environment CPU PyTorch, Transformers, Pinned Versions.mp4 -
18.73 MB

          1 - Section 1 The Architecture Landscape and Your Bench/9 - [LAB] Opening archlab The Course Repository and Its Empty Results Table.mp4 -
15.45 MB

          10 - Section 10 RAG Patterns That Work in Production/87 - Section 10 Intro Retrieval as External Memory You Can Update.mp4 -
14.24 MB

          10 - Section 10 RAG Patterns That Work in Production/88 - RAG From Lewis et al. (2020) to Today The Moving Parts and Their Failure Points.mp4 -
26.9 MB

          10 - Section 10 RAG Patterns That Work in Production/89 - [LAB] Chunking Strategies on One Corpus Fixed, Recursive, Sentence-Aware.mp4 -
32.27 MB

          10 - Section 10 RAG Patterns That Work in Production/90 - [LAB] Embeddings on CPU Choosing a Small Model, Encoding, Checking Its Licence.mp4 -
26.65 MB

          10 - Section 10 RAG Patterns That Work in Production/91 - [LAB] Vector Indexes With FAISS Flat vs HNSW vs IVF, Recall and Latency.mp4 -
28.94 MB

          10 - Section 10 RAG Patterns That Work in Production/92 - [LAB] BM25 Plus Dense Hybrid Search With Reciprocal Rank Fusion.mp4 -
27.21 MB

          10 - Section 10 RAG Patterns That Work in Production/93 - [LAB] Re-Ranking With a Cross-Encoder What It Adds, What It Costs.mp4 -
25.43 MB

          10 - Section 10 RAG Patterns That Work in Production/94 - [LAB] Retrieval Evaluation A Labelled Set Scored With Recall@k, MRR and nDCG.mp4 -
30.95 MB

          10 - Section 10 RAG Patterns That Work in Production/95 - [LAB] End-to-End Local RAG Answers With Citations and a Faithfulness Check.mp4 -
36.25 MB

          10 - Section 10 RAG Patterns That Work in Production/96 - Contextual Retrieval, GraphRAG, Self-RAG and CRAG When the Extra Machinery Pays.mp4 -
25 MB

          10 - Section 10 RAG Patterns That Work in Production/97 - [LAB] RAG vs RLM vs Long Prompt on the Same Question Set.mp4 -
37.21 MB

          10 - Section 10 RAG Patterns That Work in Production/98 - Section 10 Wrap A RAG Pipeline You Can Defend With Numbers.mp4 -
6.79 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/100 - Fair Comparison Rules Same Data, Tokens, Parameters, Seeds — and Bits per Byte.mp4 -
32.91 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/101 - Perplexity Pitfalls Tokenizers, Context Windows and Strided Evaluation.mp4 -
26.7 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/102 - [LAB] Throughput, Time-to-First-Token and Memory on CPU Warm-Up and Spread.mp4 -
27.97 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/103 - [LAB] Long-Context Tests Needle Sweeps and Position Effects on a Small Model.mp4 -
27.17 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/104 - [LAB] Synthetic Probes Selective Copying, Induction Heads, Multi-Query Recall.mp4 -
29.58 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/105 - [LAB] lm-evaluation-harness on CPU One Small Task, Two Architectures.mp4 -
26.96 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/106 - Scaling Laws and What a Toy Experiment Can and Cannot Tell You.mp4 -
28.45 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/107 - Section 11 Wrap The Results Table, Complete and Honest.mp4 -
6.67 MB

          11 - Section 11 Benchmarking and Evaluating New Architectures/99 - Section 11 Intro Numbers You Would Bet Your Architecture On.mp4 -
7.11 MB

          12 - Section 12 Decisions, Trade-Offs and the Capstone/108 - Section 12 Intro From Experiments to an Architecture Decision.mp4 -
6.93 MB

          12 - Section 12 Decisions, Trade-Offs and the Capstone/109 - The Trade-Off Axes Training Cost, Latency, Memory, Context Length, Maturity.mp4 -
28.4 MB

          12 - Section 12 Decisions, Trade-Offs and the Capstone/110 - Ecosystem Reality Check What vLLM, llama.cpp and transformers Support Today.mp4 -
13.91 MB

          12 - Section 12 Decisions, Trade-Offs and the Capstone/111 - [LAB] Capstone Part 1 One Task, Three Architectures, One Harness.mp4 -
33.83 MB

          12 - Section 12 Decisions, Trade-Offs and the Capstone/112 - [LAB] Capstone Part 2 Running the Comparison and Reading the Spread.mp4 -
32.02 MB

          12 - Section 12 Decisions, Trade-Offs and the Capstone/113 - [LAB] Capstone Part 3 Writing the Architecture Selection Report From Results.mp4 -
27.65 MB

          12 - Section 12 Decisions, Trade-Offs and the Capstone/114 - Where the Field Is Moving Hybrids, Recursive Inference and Test-Time Memory.mp4 -
27.46 MB



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