Omar Khattab @lateinteraction
CS PhD candidate @StanfordNLP. 2022 Apple Scholar in AI/ML. Author of ColBERT (https://t.co/2ZtgXoa1np), DSPy (https://t.co/BH7WmMKDXR), & various retrieval & LM systems. omarkhattab.com Stanford, CA Joined December 2022-
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Sort of like this, but the gap is twice as big.
Sort of like this, but the gap is twice as big. https://t.co/Qcbj4rOVFi
A wealth of results that many people will find valuable. GPT-3.5 vs GPT-4 with & without DSPy optimizers. Optimized GPT-3.5 calls are consistently more accurate here than uncompiled GPT-4 calls.
A wealth of results that many people will find valuable. GPT-3.5 vs GPT-4 with & without DSPy optimizers. Optimized GPT-3.5 calls are consistently more accurate here than uncompiled GPT-4 calls.
Just landed in San Francisco! 🛬 31 hours until our first DSPy meetup!! Super excited! 🎉🎉
Authors @AugustinToma @RonaldXie1 @SPalayew @BoWang87 won all three sub-tasks of MEDIQA-CORR 2024 with their programs. Check out their thread (above) and paper (below). The image shows the added gains by optimizing the language programs in DSPy. arxiv.org/pdf/2404.14544
Jo Kristian Bergum @jobergum
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5K Followers 224 Following VP of AI @Replit | Head of Applied Research @Google | Research Scientist + Instructor @StanfordAILabHere's the simple reason why leaderboards aren't meaningful without comparing cost: AlphaCode (2022) showed that you can keep improving accuracy by generating many candidate solutions (millions!). This is also true for non-coding tasks, although for slightly different reasons.
Here are the five key takeaways. aisnakeoil.com/p/ai-leaderboa…
got screwed by my evals today. lesson: if you rely on a separate labeled dataset for testing changes to your production LLM pipeline, and some prod LLM inputs may consist of errors like typos, bad grammar, different capitalization, etc. the test set needs to reflect this!!
@sh_reya Do you think prod vs test drift detection will help? Like the adversarial validation flavor
@CShorten30 Clearly I need to learn more about DSPy. Have a great meetup!
The Eagle has landed!
Just landed in San Francisco! 🛬 31 hours until our first DSPy meetup!! Super excited! 🎉🎉
@CShorten30 EXCITED! LFG! DSPy is the future of AI!
@lateinteraction Like I said, this is not a criticism at all of your docs. Totally understandable that there are mistakes. I was just getting a lot of questions from people who thought there was nothing wrong with this at all. So I was just trying to explain for a broader context, since lots…
@HamelHusain @lateinteraction Well. I found Val and Test identical in most testcases during the early days of a certain DL framework, and when I pointed it out, the framework's creator doubled down and claimed I didn't understand ML and that it didn't matter. 🙃
@lateinteraction Exactly - I also wouldn’t underestimate the power of the documentation people copy and paste that stuff and just run with it! It’s a great opportunity for people to learn the right or wrong patterns since so many people are using this who are newcomers to the field
@Teknium1 if you go in the wrong direction (e.g., increase prob of wrong words in a good sample): - The value of the reference point z_ref will increase, maybe even more than the reward z of the good sample, so z - z_ref will not improve (no net gain and maybe even a net loss). You ...
How come long context adaptions of Llama 3 that are being released only report performance on long context benchmarks? Do we assume that context extension happens for free without impacting model performance? Show us your MMLU, GSM8K, ARC-C and DROP!
@lateinteraction @AugustinToma @RonaldXie1 @SPalayew @BoWang87 Awesome! 👏
Just landed in San Francisco! 🛬 31 hours until our first DSPy meetup!! Super excited! 🎉🎉
We've aggregated all of the DSPy resources from the Weaviate team on one page! It is broken into two categories: 1. Hands on Learning and 2. Read and Listen 📚 DSPy round-up: weaviate.io/developers/wea… We're also very excited to host our in-person meetup with DSPy, @arizeai, and…
Woohoo :)
🎉 Huge congratulations to @Maggiemakar on receiving the @Google Research Scholar Award for research on "Reliability through causal alignment: causally motivated models for pain management." Here's to many more achievements ahead!👏 research.google/programs-and-e…
I wrote a roughly 20-page (+ charts and tables) guidebook to the state-of-the-art embeddings and information retrieval 🤓 Standing on the shoulders of giants like @Nils_Reimers, @jobergum, @softwaredoug, @lateinteraction and @vespaengine linkedin.com/pulse/guideboo…
today's our last day of classes, so let me share 2 exciting updates 🥁 1⃣ Starting Fall 2025, I will begin as an Assistant Professor of Computational Linguistics at the University of Pittsburgh @PittTweet 🤠 Looking forward to exploring Pittsburgh (send all your recs)! [1/4]
Thanks @AIatMeta for properly putting our clinical camel on the map of medical LLMs. We are proud to be one of the earliest open-source medical LLMs, laying the groundwork for many of the subsequent, more advanced LLMs in the field of medicine. More exciting development of…
Researchers at @ICepfl & @YaleMed teamed up to build Meditron, an LLM suite for low-resource medical settings. With Llama 3, their new model outperforms most open models in its parameter class on benchmarks like MedQA & MedMCQA. More details ➡️ go.fb.me/6vfi21