Maven - Systematically Improving RAG Applications (5.2025)

01. Lecture 0_ Introductions - Descript.mp4

45.49 MB

010. Office Hour MAY 22.mp4

789.59 MB

011. Optional Notebook Office Hour MAY 22.mp4

65.73 MB

02. Lecture 1_ synthetic data, fake it until you make it - Descript.mp4

57.82 MB

03. Week 1 - 1 _ Synthetic Questions - Descript.mp4

42.17 MB

04. Week 1 - 2 _ Benchmarking Retrieval - Descript.mp4

53.29 MB

05. Week 1 - 3 _ Statistical Validation - Descript.mp4

26.14 MB

06. Introductions.mp4

80.2 MB

07. Office Hours MAY 20.mp4

132.72 MB

08. Understanding Embedding Performance through Generative Evals [Kelly Hong].mp4

195.08 MB

09. Semantic search over the web with Exa [Will Bryk].mp4

290.32 MB

Bonus/01. Cohort 1 Guest Lectures . Building Dynamic AI Memory Systems Sam Whitmore's Approach to Personalization.mp4

209.34 MB

Bonus/02. Cohort 1 Guest Lectures Text Chunking in RAG Essential Guide with Anton from ChromaDB.mp4

190.62 MB

Bonus/03. Cohort 1 Guest Lectures Custom RAG Evaluations w Vespa.ai.mp4

122.08 MB

Bonus/04. Cohort 1 Guest Lectures Multimodal RAG, Hybrid Search & Re-ranking Tips with LanceDB and Unstructured.mp4

194.01 MB

Bonus/05. Cohort 1 Guest Lectures Leveraging User Feedback for Better RAG Systems Lessons from Zapier Central.mp4

142.74 MB

Bonus/06. Cohort 1 Guest Lectures Cohere's Guide to RAG Complexity and Tips from Modal Labs.mp4

273.92 MB

Bonus/07. Cohort 1 Guest Lectures Boosting BM25 with Generative AI Insights from Doug Turnbull.mp4

149.4 MB

Bonus/Cohort 1 Office Hours Beyond Dense Embeddings Exploring Colbert, SPLADE, & Advanced Retrieval Techniques Office Hours.mp4

57.34 MB

Bonus/Cohort 1 Office Hours Building Resilient RAG Systems for Large-Scale Data Office Hours.mp4

516.52 MB

Bonus/Cohort 1 Office Hours Building Scalable Systems with DAGs and Serverless for RAG APAC Office Hours.mp4

457.43 MB

Bonus/Cohort 1 Office Hours Data Flywheels & Fine-Tuning Re-Rankers for Retrieval Systems Office Hours.mp4

258.02 MB

Bonus/Cohort 1 Office Hours Evaluating Agent Performance and Planning Reliability in AI Systems APAC Office Hours.mp4

471.76 MB

Bonus/Cohort 1 Office Hours Handling Real-Time Insights & Advanced Retrieval Challenges APAC Office Hours.mp4

398.39 MB

Bonus/Cohort 1 Office Hours Optimizing Planner and Feedback Mechanisms in RAG Systems APAC Office Hours.mp4

263.39 MB

Bonus/Cohort 1 Office Hours Smart Routing and Query Optimization for Advanced Retrieval Systems Office Hours.mp4

407.07 MB

Bonus/Cohort 1 Office Hours Using AI to Streamline Query Understanding & User Feedback Office Hours.mp4

334.02 MB

Bonus/Cohort 2 Guest Lectures Building document workflow agents with Jerry Liu from Llama Index.mp4

108.35 MB

Bonus/Cohort 2 Guest Lectures Building scalable RAG applications Evolving workflows for sharing and optimization [Ankur Goyal].mp4

111.8 MB

Bonus/Cohort 2 Guest Lectures Common Mistakes People Make with Evals [Hamel Husain].mp4

201.18 MB

Bonus/Cohort 2 Guest Lectures Inside Glean Fine-Tuning Embedding Models for Optimized AI and Enterprise Search.mp4

100.89 MB

Bonus/Cohort 2 Guest Lectures Lexical Love Rediscovering the Power of Text in RAG [John Berryman].mp4

93.56 MB

Bonus/Cohort 2 Guest Lectures Organizing Your Data for Query Routing [Anton Troynikov from ChromaDB].mp4

96.98 MB

Bonus/RAG Cohort 1 - Workshop 1.mp4

202.02 MB

Bonus/RAG Cohort 1 - Workshop 2.mp4

489.93 MB

Bonus/RAG Cohort 1 - Workshop 3.mp4

187.44 MB

Bonus/RAG Cohort 1 - Workshop 4.mp4

198.76 MB

Bonus/RAG Cohort 1 - Workshop 5.mp4

300.29 MB

Bonus/RAG Cohort 1 - Workshop 6.mp4

303.51 MB

code/FAQs - Semantic search over the web with Exa [Will Bryk].txt

4.9 KB

code/FAQs - Understanding Embedding Performance through Generative Evals.txt

4.99 KB

code/Office Hour FAQs MAY 22.txt

5.38 KB

code/Office Hour Study Notes MAY 22.txt

13.41 KB

code/Session 0 - Introduction.pdf

1.25 MB

code/Session 1 - Kickstart the Data Flywheel - Fake it till you make it_.pdf

611.36 KB

code/Study Notes - Semantic search over the web with Exa [Will Bryk].txt

15.3 KB

code/Study Notes - Understanding Embedding Performance through Generative Evals.txt

10.92 KB

code/Week 1 Session 1 Tutorials.txt

81 B

code/Week 1 Study Notes - Understanding Embedding Performance through Generative Evals.pdf

2.3 MB

code/Week 2 Lecture 2 Finetuning Rerankers and Embeddings.txt

2.1 KB

code/Week 2 Session 2 Tutorials.txt

1.46 KB

资源详情

免责声明