Prateek Jain @jainprateek_
Learning machine learning at Google Research prateekjain.org Bengaluru, India Joined March 2018-
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Thank you @bruke_kifle and #ACMByteCast for hosting me and for the opportunity, I very much enjoyed our conversation!
Thank you @bruke_kifle and #ACMByteCast for hosting me and for the opportunity, I very much enjoyed our conversation!
Very pleased IndicGenBench is now out, lots of headroom for PhD students to start cracking 🙂 Particularly happy about the 29 languages coverage, including first-time generative evals (or any evals?) for many languages , eg, Garhwali, Konkani, Rajasthani, etc. Enjoy! @GoogleAI
Very pleased IndicGenBench is now out, lots of headroom for PhD students to start cracking 🙂 Particularly happy about the 29 languages coverage, including first-time generative evals (or any evals?) for many languages , eg, Garhwali, Konkani, Rajasthani, etc. Enjoy! @GoogleAI
Feel privileged to work with colleagues like @MilindTambe_AI who are advancing the field of AI via new methods and applying them to make a difference to the world.
Feel privileged to work with colleagues like @MilindTambe_AI who are advancing the field of AI via new methods and applying them to make a difference to the world.
New work on evaluating LLMs for generation in Indic Languages: IndicGenBench 👉5 diverse tasks, 29 Indic languages, >100k examples. 👉Curated using human translations ensuring high quality. 👉Multi-way parallel dataset. arxiv.org/abs/2404.16816 github.com/google-researc… (1/n)
Deadline to apply for this PhD position is coming up in a bit over two weeks! Apply if you want to work on theoretical and/or applied topics on trustworthy ML with an amazing couple of researchers and yours truly. Email me for any questions :)
Deadline to apply for this PhD position is coming up in a bit over two weeks! Apply if you want to work on theoretical and/or applied topics on trustworthy ML with an amazing couple of researchers and yours truly. Email me for any questions :)
My team and I are moving from Google Research to Google DeepMind - with a bunch of other teams. Super pumped for the future! #DeepMindAI blog.google/inside-google/…
Are you a graduating / recently graduated Ph.D student (across the world) looking to do LLM research with a stellar group ⁉️ Join @partha_p_t as a Postdoc to advance multilingual LLMs!
Are you a graduating / recently graduated Ph.D student (across the world) looking to do LLM research with a stellar group ⁉️ Join @partha_p_t as a Postdoc to advance multilingual LLMs!
Postdoc opening in Languages group at Google Deepmind based out of Bangalore Topics: LLMs, multilinguality, multimodality, RAI, etc. Strong candidates may apply by sending cv to [email protected] with [LLM-Postdoc] in subject by Apr 26 DM/email for any questions
Exciting new Kaggle competition on bird-song identification in the Western Ghats in support of wildlife conservation efforts! The goal is to detect and classify bird species from audio monitoring data with limited training data. Hope many researchers will participate!
Exciting new Kaggle competition on bird-song identification in the Western Ghats in support of wildlife conservation efforts! The goal is to detect and classify bird species from audio monitoring data with limited training data. Hope many researchers will participate!
Excited to see another key launch powered by Matryoshka🪆models from @adityakasupati @jainprateek_ and team!
Excited to see another key launch powered by Matryoshka🪆models from @adityakasupati @jainprateek_ and team!
The next obvious step is combining Matryoshka (versatility in dimension length) with binarization (versatility in dimension precision). One embedding inference, but flexibility depending on the task and budget. I’m sure @mixedbreadai is well positioned to pull that off.
Nice to see the application of🪆Matryoshka representations as part of @PinterestEng's LinkSage model used for AI systems across @Pinterest!!! medium.com/pinterest-engi…
Today, I dived into the world of Matryoshka Representation Learning🪆, using @nomic_ai's nomic-embed-text-v1.5. This approach improves how we handle and retrieve data efficiently, blending AI's power into #SEO applications. [Colab] wor.ai/oFVubi 🧵
Would you trade 1% of accuracy to only have to store 1% of the data? With Matryoshka Embeddings, we can drastically reduce vector dimensionality while maintaining strong accuracy. Check out this example that combines Matryoshka Embeddings with Faiss 4-bit scalar quantization 🚀
The good old Adaptive Retrieval (two-phase) using 🪆 implemented in @LangChainAI Use it for more saving and better performance!
The good old Adaptive Retrieval (two-phase) using 🪆 implemented in @LangChainAI Use it for more saving and better performance!
🪆Matryoshka Retriever A recent blog post by @supabase described a new technique for higher performance retrieval, without compromising accuracy. So we've just released a new retriever in LangChain.js 🦜🔗 which implements this exactly! Use any vector store, and two embedding…
What a great episode for the leap year @thursdai_pod ! Got to chat about @MistralAI large, EMO from Alibaba, new AI art models from @playground_ai and @ideogram_ai and finally a 🪆 chat with @adityakusupati and @jainprateek_ Pod is out on Spotify/Apple and Sub**ack 👇
Part of my top secret mission to excite more people to work on enabling Human-Human collaboration through AI !
Part of my top secret mission to excite more people to work on enabling Human-Human collaboration through AI !
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In the latest #ACMByteCast, @bruke_kifle hosts Partha Talukdar (@partha_p_t) of @GoogleAI & @cdsiisc @IIScCSA. They talk about his research on #NLP, #KnowledgeGraphs, & how multi-modal/lingual #LLMs can help develop more inclusive/equitable language tech. learning.acm.org/bytecast/ep52-…
Very pleased IndicGenBench is now out, lots of headroom for PhD students to start cracking 🙂 Particularly happy about the 29 languages coverage, including first-time generative evals (or any evals?) for many languages , eg, Garhwali, Konkani, Rajasthani, etc. Enjoy! @GoogleAI
New work on evaluating LLMs for generation in Indic Languages: IndicGenBench 👉5 diverse tasks, 29 Indic languages, >100k examples. 👉Curated using human translations ensuring high quality. 👉Multi-way parallel dataset. arxiv.org/abs/2404.16816 github.com/google-researc… (1/n)
Another contribution from our Languages team to support further research on AI for Indian languages.
Very pleased IndicGenBench is now out, lots of headroom for PhD students to start cracking 🙂 Particularly happy about the 29 languages coverage, including first-time generative evals (or any evals?) for many languages , eg, Garhwali, Konkani, Rajasthani, etc. Enjoy! @GoogleAI
Feel privileged to work with colleagues like @MilindTambe_AI who are advancing the field of AI via new methods and applying them to make a difference to the world.
In this episode of "AI In Real Life" podcast, I discussed "How Can AI Work for Social Good?" Thanks NSF AI Institute for Societal Decision Making (AI-SDM) at Carnegie Mellon University for this discussion. youtube.com/watch?v=FyMQX6…
New work on evaluating LLMs for generation in Indic Languages: IndicGenBench 👉5 diverse tasks, 29 Indic languages, >100k examples. 👉Curated using human translations ensuring high quality. 👉Multi-way parallel dataset. arxiv.org/abs/2404.16816 github.com/google-researc… (1/n)
Thank you for inviting me @IndiasporaForum. Thoroughly enjoyed the conversation on AI for social impact. #AIforSocialImpact
Happening now: @MilindTambe_AI of @Harvard and @nitashatiku of @washingtonpost discuss the extensive role of academia in improving health outcomes with AI.
Deadline to apply for this PhD position is coming up in a bit over two weeks! Apply if you want to work on theoretical and/or applied topics on trustworthy ML with an amazing couple of researchers and yours truly. Email me for any questions :)
The call for this position is now public. This will be jointly supervised with Prof. Amir Yehudayoff at @DIKU_Institut , Prof. Varun Kanade @CompSciOxford (including a stay in Oxford for 3-6 months), and myself. candidate.hr-manager.net/ApplicationIni… RTs appreciated
My team and I are moving from Google Research to Google DeepMind - with a bunch of other teams. Super pumped for the future! #DeepMindAI blog.google/inside-google/…
Are you a graduating / recently graduated Ph.D student (across the world) looking to do LLM research with a stellar group ⁉️ Join @partha_p_t as a Postdoc to advance multilingual LLMs!
Postdoc opening in Languages group at Google Deepmind based out of Bangalore Topics: LLMs, multilinguality, multimodality, RAI, etc. Strong candidates may apply by sending cv to [email protected] with [LLM-Postdoc] in subject by Apr 26 DM/email for any questions
Postdoc opening in Languages group at Google Deepmind based out of Bangalore Topics: LLMs, multilinguality, multimodality, RAI, etc. Strong candidates may apply by sending cv to [email protected] with [LLM-Postdoc] in subject by Apr 26 DM/email for any questions
Now that it is official, my amazing student Chris Harshaw is joining the statistics department @Columbia as an Assistant Professor. Super proud of him. chrisharshaw.com
We can train a diffusion using only these noisy images and produce natural looking images. New results from our paper "Consistent Diffusion Meets Tweedie"
Consistent Diffusion Meets Tweedie. Our latest paper introduces an exact framework to train/finetune diffusion models like Stable Diffusion XL solely with noisy data. A year's worth of work breakthrough in reducing memorization and its implications on copyright 🧵
The folks at @OpenAI and @ericschmidt were kind enough to give @AdtRaghunathan and me a generous gift to better understand supervision with weak models. We are honored to be awarded, and are looking forward to the exciting work that will come out of this !
This is so cool! Go use Binary 🪆in @mixedbreadai!
Follow-up on binary embeddings: 64 bytes per embedding, yee-haw 🤠 Reduces memory usage of our embedding model by more than 98% (64x) while retaining over 90% of model performance with binary 🪆 Model: huggingface.co/mixedbread-ai/… Blog: mixedbread.ai/blog/binary-mrl
Follow-up on binary embeddings: 64 bytes per embedding, yee-haw 🤠 Reduces memory usage of our embedding model by more than 98% (64x) while retaining over 90% of model performance with binary 🪆 Model: huggingface.co/mixedbread-ai/… Blog: mixedbread.ai/blog/binary-mrl
Our new youTube channel: youtube.com/playlist?list=… Comments welcome!
Congrats @ElanRosenfeld on a great thesis that moves our understanding of distribution shift forward! w/ @risteski_a @boazbaraktcs @ShalitUri
And that's a wrap ! @ElanRosenfeld , it's been a pleasure and privilege to watch you grow and develop as a researcher. Congratulations on an impressive body of work --- I'm certain you are just getting started and you'll do great things.
Congrats @ElanRosenfeld on a great thesis that moves our understanding of distribution shift forward! w/ @risteski_a @boazbaraktcs @ShalitUri
Congratulations to Avi Wigderson on winning this year's @TheOfficialACM A.M. Turing Award! 🎉 His contributions to how randomness and computation interact have significantly shaped modern computing.
🏆 We're thrilled to announce the recipient of the 2023 #ACMTuringAward: Avi Wigderson! Wigderson is recognized for his foundational contributions to the theory of computation. Join us in celebrating his incredible achievements! Learn more here: bit.ly/4aGpbiM @the_IAS
🏆 We're thrilled to announce the recipient of the 2023 #ACMTuringAward: Avi Wigderson! Wigderson is recognized for his foundational contributions to the theory of computation. Join us in celebrating his incredible achievements! Learn more here: bit.ly/4aGpbiM @the_IAS
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