From 6b30b2c90ceb0d397db0faa2fe4de96d5dd8020a Mon Sep 17 00:00:00 2001 From: Jason Liu Date: Mon, 20 Nov 2023 14:34:49 -0500 Subject: [PATCH] clean up index --- docs/blog/index.md | 14 +++++++------- docs/examples/index.md | 37 +++++++++++++------------------------ 2 files changed, 20 insertions(+), 31 deletions(-) diff --git a/docs/blog/index.md b/docs/blog/index.md index 3c26d98..8943678 100644 --- a/docs/blog/index.md +++ b/docs/blog/index.md @@ -4,16 +4,16 @@ The goal of the blog is to capture some content that does not neatly fit within ## Advanced Topics -- [Query Understanding for RAG: Beyond Embeddings](posts/rag-and-beyond.md) -- [Finetuning: GPT-4 level summaries with GPT-3.5-turbo](posts/chain-of-density.md) -- [Introduction to Guardrails and Validation](posts/validation-part1.md) -- [Validating Citations](posts/citations.md) -- [A Guide to Fine-Tuning and Distillation](posts/distilation-part1.md) +1. [What is Query Understanding, how does it go beyond embeddings?](posts/rag-and-beyond.md) +2. [How can one achieve GPT-4 level summaries using GPT-3.5-turbo?](posts/chain-of-density.md) +3. [What are the basics of Guardrails and Validation in AI models?](posts/validation-part1.md) +4. [How does one validate citations in AI-generated content?](posts/citations.md) +5. [What are the methods and benefits of fine-tuning and distillation in AI models?](posts/distilation-part1.md) ## Learning Python -- [Understanding Batch Processing with async](posts/learn-async.md) +- [What are the fundamentals of batch processing with async in Python?](posts/learn-async.md) ## Talks -- [AI Engineering Summit 2023](posts/aisummit-2023.md) +- [What were the key insights and topics covered at the AI Engineering Summit 2023?](posts/aisummit-2023.md) diff --git a/docs/examples/index.md b/docs/examples/index.md index 971bcec..71a293f 100644 --- a/docs/examples/index.md +++ b/docs/examples/index.md @@ -2,28 +2,17 @@ ## Quick Links -- [Classifying Text](classification.md): Single and multi-label classification using enums. +1. [How are single and multi-label classifications done using enums?](classification.md) +2. [How is AI self-assessment implemented with `llm_validator`?](self_critique.md) +3. [How are exact citations retrieved using regular expressions and smart prompting?](exact_citations.md) +4. [How are search queries segmented through function calling and multi-task definitions?](search.md) +5. [How are knowledge graphs generated from questions?](knowledge_graph.md) +6. [How are complex queries decomposed into subqueries in a single request?](planning-tasks.md) +7. [How are entities extracted and resolved from documents?](entity_resolution.md) +8. [How are recursive schemas implemented and understood?](recursive.md) +9. [How are tables extracted automatically from textual data?](autodataframe.md) +10. [How is multi-file code generation accomplished?](gpt-engineer.md) +11. [How is Personally Identifiable Information sanitized from documents?](pii.md) +12. [How are action items and dependencies generated from transcripts?](action_items.md) -- [Self-Assessment via Validators](self_critique.md): Implement AI self-assessment with `llm_validator`. - -- [Citations via Regex](exact_citations.md): Retrieve exact citations using regular expressions and smart prompting. - -- [Extracting Search Queries](search.md): Segment search queries through function calling and multi-task definitions. - -- [Generating Knowledge Graphs](knowledge_graph.md): Generate knowledge graphs from a question - -- [Query Decomposition](planning-tasks.md): Decompose complex queries into subqueries in a single request. - -- [Entity Extraction and Resolution](entity_resolution.md): Extract and resolve entities from a document. - -- [Working with Recursive Schemas](recursive.md): Implement and understand recursive schemas. - -- [Table Extraction from Text](autodataframe.md): Extract tables, potentially multiple, automatically from textual data. - -- [Multi-File Code Generation](gpt-engineer.md): Generate multi-file programs with contents and paths. - -- [PII Data Sanitization](pii.md): Extract and sanitize Personally Identifiable Information (PII) from documents. - -- [Action Item and Dependency Mapping](action_items.md): Generate action items and their dependencies from transcripts. - -Happy exploring! +Explore more!