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jxnlco

192 karma · joined February 16, 2023

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Why RAG is more than just vector search

timescale.com·5 pts·jxnlco·

Best Tools for Indie Tech Consultants

jxnl.co·2 pts·jxnlco·

Systematically Improving Your RAG

jxnl.co·176 pts·jxnlco·

Show HN: Instructor v1, for LLM structured output and streaming

python.useinstructor.com·5 pts·jxnlco·

Structured Data for Open-Source LLMs

jxnl.github.io·2 pts·jxnlco·

Stop Using LGTM Few for RAG

jxnl.github.io·1 pts·jxnlco·

How to Ship an AI Application MVP

jxnl.github.io·1 pts·jxnlco·

Embedding (RAG) all of Wikipedia in less than 15 minutes

modal.com·7 pts·jxnlco·

Steering Large Language Models with Pydantic

blog.pydantic.dev·5 pts·jxnlco·

Python caching decorators in three levels

jxnl.github.io·10 pts·jxnlco·

Validating LLM Citations with Pydantic

jxnl.github.io·1 pts·jxnlco·

Introduction to async batching using `asyncio` and `OpenAI`

jxnl.github.io·6 pts·jxnlco·

At the Intersection of LLMs and Kernels – Research Roundup

charlesfrye.github.io·6 pts·jxnlco·

Good LLM Validation Is Just Good Validation

jxnl.github.io·2 pts·jxnlco·

Distilling Python Functions into an LLM Finetune

jxnl.github.io·3 pts·jxnlco·

RAG is more than just embedding search

jxnl.github.io·151 pts·jxnlco·

Improving OpenAI Function Calling Usability in Python

medium.com·8 pts·jxnlco·

Show HN: Automatic YouTube Chapters and Summaries

youtubechapters.app·1 pts·jxnlco·

Modeling Extractions with OpenAI Function Calls with Pydantic

openai-function-call.onrender.com·2 pts·jxnlco·

Validating OpenAI's new function call with Pydantic in 50 lines of code

medium.com·7 pts·jxnlco·

Show HN: Turn YouTube videos into study notes w/ Streaming, GPT, and Whisper

magic.jxnl.co·20 pts·jxnlco·