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Structured Data for Open-Source LLMs (jxnl.github.io)
2 points by jxnlco on March 7, 2024 | past
Advice to Young People, the Lies I Tell Myself (jxnl.github.io)
2 points by dvcoolarun on March 6, 2024 | past
Stop Using LGTM Few for RAG (jxnl.github.io)
1 point by jxnlco on Feb 26, 2024 | past
How to Ship an AI Application MVP (jxnl.github.io)
1 point by jxnlco on Feb 23, 2024 | past
Seamless Support with Langsmith (jxnl.github.io)
1 point by sebg on Feb 20, 2024 | past
Stop Using LGTM as a Metric (jxnl.github.io)
1 point by gk1 on Feb 6, 2024 | past
What I Learned earning $40k/month from Indie Consulting (jxnl.github.io)
3 points by thmsmlr on Jan 26, 2024 | past
Questions AI Engineers need to ask themselves (jxnl.github.io)
2 points by sebg on Jan 23, 2024 | past
What I Learned from Trying (jxnl.github.io)
4 points by gk1 on Jan 11, 2024 | past
Advice to young people, the lies I tell myself (jxnl.github.io)
148 points by amrrs on Jan 7, 2024 | past | 72 comments
Streaming Structured Outputs with LLMs (jxnl.github.io)
3 points by aj6 on Nov 30, 2023 | past
Python caching decorators in three levels (jxnl.github.io)
10 points by jxnlco on Nov 27, 2023 | past
Validating LLM Citations with Pydantic (jxnl.github.io)
1 point by jxnlco on Nov 20, 2023 | past
Introduction to async batching using `asyncio` and `OpenAI` (jxnl.github.io)
6 points by jxnlco on Nov 15, 2023 | past
Smarter summaries with finetuning GPT-3.5 and chain of density (jxnl.github.io)
234 points by ivanleomk on Nov 13, 2023 | past | 39 comments
Good LLM Validation Is Just Good Validation (jxnl.github.io)
63 points by ivanleomk on Oct 27, 2023 | past | 16 comments
Good LLM Validation Is Just Good Validation (jxnl.github.io)
2 points by jxnlco on Oct 27, 2023 | past
Distilling Python Functions into an LLM Finetune (jxnl.github.io)
3 points by jxnlco on Oct 24, 2023 | past
RAG is more than just embedding search (jxnl.github.io)
151 points by jxnlco on Sept 21, 2023 | past | 58 comments

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