2024-05-30
Proud to bring you: A Year Building With LLMs, a three part essay published with O'Reilly https://www.oreilly.com/... We get into the weeds on what it takes develop incredible LLM powered applications Advice from: @eugeneyan, @charles_irl, @HamelHusain, @jxnlco, @sh_reya and I.
O'Reilly Media
Six AI and ML experts detail what they learned from building real-world applications on top of LLMs over the past year, including common prompting pitfalls
‘What We Learned from a Year of Building with LLMs (Part I)’ — https://www.oreilly.com/... Hallucinations are still a big problem; RAGs are better than fine-tuning; long context...
I'm partial to this section, h/t to @willkurt with whom I chatted about this framing a lot: [image]
O'Reilly Media
Six AI and ML experts detail what they learned from building real-world applications on top of LLMs over the past year, including common prompting pitfalls
‘What We Learned from a Year of Building with LLMs (Part I)’ — https://www.oreilly.com/... Hallucinations are still a big problem; RAGs are better than fine-tuning; long context...