clean up index

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)

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!