Aditya Bindal @adbindal
San Francisco, CA Joined November 2018-
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Historically, unstructured data has dominated the spotlight in AI, while the mission-critical structured data that drives most enterprise workflows has remained under-leveraged, with few proven recipes for AI workloads. Today, we’re changing that by fully open-sourcing…
Historically, unstructured data has dominated the spotlight in AI, while the mission-critical structured data that drives most enterprise workflows has remained under-leveraged, with few proven recipes for AI workloads. Today, we’re changing that by fully open-sourcing…
Our solution is built on top of @Alibaba_Qwen We explored inference-time scaling by generating a large number of SQL candidates and picking the best one! How one generates these candidates and selects the best one is important. By generating 1000+ candidates (!) and smartly…
Now open source!
Top model on RewardBench v2 is a generative LM trained in a very similar way to the "rubrics" that @SemiAnalysis_ reported OpenAI is investing a lot of energy in for o4 and on. Is a natural way for useful inference-time scaling of llm-as-a-judge. Congrats @ContextualAI friends
Top model on RewardBench v2 is a generative LM trained in a very similar way to the "rubrics" that @SemiAnalysis_ reported OpenAI is investing a lot of energy in for o4 and on. Is a natural way for useful inference-time scaling of llm-as-a-judge. Congrats @ContextualAI friends
Great RM for developers, available via API, and soon open-source!
Great RM for developers, available via API, and soon open-source!
When we came up with RAG five years ago, we weren't creating a workaround for small context windows—we were designing a principled approach to augment models with external knowledge. The core challenges RAG addresses remain unsolved with just larger context windows: • Accessing…
🚀 Today, we're announcing Contextual Reranker - world's first 𝗶𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻-𝗳𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴, state-of-the-art reranker. Here's our journey with the rerankers, the enterprise pain points we observed, and our solution: Since Contextual AI's inception, rerankers have…
🚀 Today, we're announcing Contextual Reranker - world's first 𝗶𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻-𝗳𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴, state-of-the-art reranker. Here's our journey with the rerankers, the enterprise pain points we observed, and our solution: Since Contextual AI's inception, rerankers have…
❄️ The Contextual AI Platform is now available as a Native app on @SnowflakeDB Marketplace! Build specialized RAG agents directly within your Snowflake environment—no data movement required. 🧵
Great coverage by @MichaelFNunez on grounded language models and why they matter. venturebeat.com/ai/contextual-…
This has been a frequent request from our customers. Excited to see how developers use our new GLM to build better and more grounded agents.
This has been a frequent request from our customers. Excited to see how developers use our new GLM to build better and more grounded agents.
Even with RAG, the best LLMs still hallucinate. It’s surprisingly difficult for LLMs to distinguish between information placed in-context and their own parametric knowledge/conceptions, especially when the info doesn’t answer everything and the model wants to be helpful… Enter a…
🚀 Introducing our Grounded Language Model (GLM)—the most grounded language model in the world! With state-of-the-art performance on FACTS (the leading groundedness benchmark) and our customer datasets, the GLM is the single best language model for RAG and agentic use cases, for…
🐦 🦅🦆 bird-bench.github.io 🚀
The era of Frankenstein RAG 🧌 is coming to an end... welcome RAG 2.0! 🚀 I am SUPER EXCITED to publish the 114th episode of the Weaviate Podcast featuring Amanpreet Singh (@apsdehal) from @ContextualAI! 🎙️🎉 "Frankenstein" RAG captures how these systems naively glue together…
APO-zero was designed to be a very simple alignment objective, the goal was never max performance. To my amazement, APO-zero comes out on top in this comparison! The APO paper also nicely explains when you want SFT in your alignment and when not. It's actually simple to make a…
APO-zero was designed to be a very simple alignment objective, the goal was never max performance. To my amazement, APO-zero comes out on top in this comparison! The APO paper also nicely explains when you want SFT in your alignment and when not. It's actually simple to make a… https://t.co/TVSSjKUjGT
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GlobalAI @GlobalAiDotCom
579 Followers 2K Following We build bleeding-edge, sovereign AI Data Centers. Air-gapped, Liquid-cooled & stacked with NVIDIA Blackwell GPUs. Official AI-Certified Partner of @Nvidia
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Abdallah Bashir @abdallah197_
628 Followers 667 Following Boring but not so boring Ambivert | Contextual AI | ex Allen AI, GS and Amazon #NLProc, My opinions are my own
Shikib Mehri @shikibmehri
462 Followers 1K Following Research Lead @ContextualAI | Previously @AmazonScience; PhD @LTIatCMU
Contextual AI @ContextualAI
5K Followers 21 Following The unified context layer for Enterprise AI. Bridging the gap between LLMs and enterprise data.
George Halal @halal_george
115 Followers 303 Following Search & Agents Research @ContextualAI | Ex-Physics PhD @Stanford
Shreejit Verma @shreejitverma
231 Followers 2K Following Quantitative Developer @ Hedge Fund | Ex Senior Software Engineer @ Bank of America | CFA LEVEL II | Quantitative Finance | Ex MSCF Candidate @ CMU
Alexander Doria @Dorialexander
19K Followers 4K Following Reasoning models to come. Co-founder @pleiasfr
Rajiv Shah @rajistics
2K Followers 355 Following Chief Evangelist @ContextualAI - slightly funny videos along with practical AI posts, was @huggingface @datarobot @snorkelai
Karel D’Oosterlinck @KarelDoostrlnck
3K Followers 654 Following Agentic research @ContextualAI. PhD in Alignment / Interpretability. Ex @stanfordnlp, @ugent.
Abdallah Bashir @abdallah197_
628 Followers 667 Following Boring but not so boring Ambivert | Contextual AI | ex Allen AI, GS and Amazon #NLProc, My opinions are my own
Nandita Naik @nandita__naik
246 Followers 311 Following research @ContextualAI and (prev) @StanfordNLP | creative writing in @blackwarriorreview, @adroitjournal, and others
Sheshansh Agrawal @sheshanshag
187 Followers 293 Following Research Lead - Search & Agents @ContextualAI. Past: @Microsoft AI, @MSFTResearch
Rajan Vivek @rajan__vivek
249 Followers 269 Following Research @ContextualAI. MS CS + AI researcher @stanford. Prev @scale_AI @georgiatech
Akash Mahajan @akashmjn
624 Followers 675 Following 🎧 prev chatting with PDFs @ContextualAI; @Azure Speech; @Stanford @atherenergy @iitmadras
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462 Followers 1K Following Research Lead @ContextualAI | Previously @AmazonScience; PhD @LTIatCMU
Nicholas Lui @niclui97
22 Followers 27 Following product @ContextualAI, previously @databricks @stanford @knighthennessy
Mike Krieger @mikeyk
463K Followers 267 Following Chief Product Officer at @anthropicai. Before: co-founder & CTO of @instagram and @artifact_news
Kevin Weil 🇺🇸 @kevinweil
111K Followers 3K Following CPO @OpenAI, BoD @Cisco @nature_org, LTC @USArmyReserve Prev: President @Planet, Head of Product @Instagram @Twitter ❤️ @elizabeth ultramarathons kids cats math
Ethan Mollick @emollick
290K Followers 578 Following Professor @Wharton studying AI, innovation & startups. Democratizing education using tech Book: https://t.co/CSmipbJ2jV Substack: https://t.co/UIBhxu4bgq
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1.3M Followers 2K Following The official account of the MeidasTouch Network. Unapologetically pro-democracy.
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211K Followers 1K Following We are an independent investment research and financial media company. Not Investment Advice. Access our actionable data-driven research at https://t.co/7g2FfaekGA.
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Jerry Liu @jerryjliu0
66K Followers 1K Following co-founder/CEO @llama_index Careers: https://t.co/EUnMNmbCtx Enterprise: https://t.co/Ht5jwxSrQB
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8K Followers 930 Following [email protected] (ex-Google Brain, OpenAI, Meta) New Blog: https://t.co/SLix8Hrt4w Old Blog: https://t.co/Ur3GWKpmp6
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