Rishabh Bhargava

161 posts

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Rishabh Bhargava

Rishabh Bhargava

@rish_bhargava

Scaling tokens @togethercompute. Ex: Co-founder/CEO @RefuelAI (acq), @Stanford, @primer_ai,

San Francisco, CA Katılım Şubat 2014
632 Takip Edilen400 Takipçiler
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Rishabh Bhargava
Rishabh Bhargava@rish_bhargava·
Excited to announce that Refuel is officially out of stealth today! We’re building a platform to create, clean, enrich and label datasets at the speed of thought, using LLMs. 🚀 More details below.
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Teknium (e/λ)
Teknium (e/λ)@Teknium·
Does whisper have an api somewhere or is there better transcriber as a service models
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Ted Nyman
Ted Nyman@tnm·
By far the biggest issue with MCP is not the protocol itself (it's fine, it's just a protocol lol), but the total shit state of actual MCP servers out there. A few things right now, both technical and social: a) You still have to think about actually designing these things, you can't just throw a bunch of tools out and assume it'll work b) Resources and tools are not the same thing. (clients need to catch-up to this ofc) c) MCP is absolutely not REST. Don't map REST to this. d) Threadlad overstatement of effectiveness of existing servers is causing massive cognitive dissonance among users when they try stuff out e) Accuracy of LLM tool use still matters and is not perfect (or even great!)
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Aditya Grover
Aditya Grover@adityagrover_·
Thank you for the honor — truly an acknowledgment of the tireless efforts of all my students, mentors, collaborators, friends and family over the years!
IJCAIconf@IJCAIconf

Announcing the 2025 IJCAI Computers and Thought Award winner ✨Aditya Grover @adityagrover_, @InceptionAILabs @UCLA. Dr. Grover is honored for uniting deep generative models, representation learning & RL to advance scientific reasoning. Congratulations! ijcai.org/awards

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General Catalyst
General Catalyst@generalcatalyst·
Congratulations to our portfolio companies, @togethercompute and @RefuelAI, on uniting their strengths to power the next generation of AI infrastructure! Together AI’s AI Acceleration Cloud enables developers and enterprises to train and deploy generative AI models with speed, control, and cost-efficiency. By bringing in Refuel’s purpose-built data models and orchestration platform, they’re tackling one of the biggest bottlenecks in AI: cleaning and structuring messy data at scale. We’re proud of @vipulved, @rish_bhargava, @nihit_desai, and both teams for building the foundation that enables applied AI to thrive.
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Rishabh Bhargava
Rishabh Bhargava@rish_bhargava·
@auren We'd seen AI models outperforming humans even with earlier, less powerful LLMs - see this report we published in June 2023: refuel.ai/blog-posts/llm… We didn't measure performance of humans in the first few minutes, but makes sense that humans would quickly get bored here!
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Auren Hoffman
Auren Hoffman@auren·
we ran a contest: Humans v AI on data labeling. had complex data labeling rote task. initial finding: humans beat AI but ... humans only beat AI for the first 3 minutes. then humans got bored. an hour in, humans were terrible. AI was consistent over time. so: AI beat humans
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Aditya Grover
Aditya Grover@adityagrover_·
A few months ago, we started Inception Labs, a new generative AI startup with a rockstar founding team. At Inception, we are challenging the status quo for language generation. Our first results bring blazing fast speeds at 1000+ tokens/sec while matching the quality of leading speed-optimized frontier LLMs. And all on commodity NVIDIA H100s - an industry first! Our vision is to extend the frontier of speed, quality, and cost for next-generation language models. Join us!
Inception@_inception_ai

We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.

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Dhruva Bansal
Dhruva Bansal@BansalDhruva·
To Reason or Not to Reason, that is the question 🤔
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Nat Friedman
Nat Friedman@natfriedman·
Need volunteers to come to my office in Palo Alto today to construct a 5000 piece Lego set. Will provide pizza. Have to sign NDA. Please DM
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martin_casado
martin_casado@martin_casado·
Hey infra folks. We're standing up a new Discord server to discuss CS infra. If you want an invite DM me (reply and I'll follow). thanks!
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Nihit Desai
Nihit Desai@nihit_desai·
Data intelligence too cheap to meter RefuelLLM-2-mini (75.02%), our latest 1.5B param SLM, outperforms all comparable models including Phi-3.5 (65.3%), Qwen2.5 (67.62%), Gemma2 (64.52%), Llama3-3B (55.8%) and Llama3-1B (39.92%) across our benchmark of data processing tasks such as labeling, enrichment and structure extraction RefuelLLM-2-mini is a Qwen2-1.5B base model, trained on a corpus of 2750+ datasets spanning tasks such as classification, reading comprehension, structured attribute extraction and entity resolution, using the same recipe as other models in the Refuel-LLM family. It's fast! We’re open sourcing the model weights, available on @huggingface - huggingface.co/refuelai/Qwen-… If you'd like to access models, along with fine tuning support, DM me or reach out to us: refuel.ai/get-started Grateful to our early customers for their partnership, and the entire @RefuelAI team for their hard work 🚀
Nihit Desai tweet mediaNihit Desai tweet media
Nihit Desai@nihit_desai

Thrilled to introduce RefuelLLM-2, our latest family of LLMs built for data labeling and enrichment tasks. RefuelLLM-2 (83.82%) outperforms GPT-4-Turbo (80.88%), Claude-3-Opus (79.19%), Llama3-70B (78.2%) and Gemini-1.5-Pro (74.59%) on a benchmark of ~30 data labeling tasks: RefuelLLM-2-small (79.67%), aka Llama-3-Refueled, outperforms all comparable LLMs including Claude3-Sonnet (70.99%), Haiku (69.23%) and GPT-3.5-Turbo (68.13%). We’re open sourcing the model: huggingface.co/refuelai/Llama… You can try out the models here and give us some feedback! labs.refuel.ai/playground. The code and data used for benchmarking the LLMs is available in our Autolabel library: github.com/refuel-ai/auto… One more thing: RefuelLLM-2 family of models output much better calibrated confidence scores - a useful lever to reject, retry or ensemble low confidence outputs.

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Patrick McKenzie
Patrick McKenzie@patio11·
I am (sincerely!) pleased how many crypto enthusiasts have enjoyed the piece on debanking.
Alex Keller@0xEV_om

@gakonst bitsaboutmoney.com/archive/debank… I'm currently shilling this as the best thing I read all year to anyone who cares to listen not sure if your jam but I have to leave it here (reading time 1h30 - 4h) worlds of information

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David J Phillips
David J Phillips@davj·
Grateful to welcome our baby girl into the world She’s our dream come true ❤️
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Alex Yanko 🇺🇦
Alex Yanko 🇺🇦@LeopolisDream·
The most boring task you might have to deal with is data cleaning. Also record deduplication. And there is no winning solution to this. Only manual tedious work. Should I try LLM to help with this or this will add another layer of issues?
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Vishakh Hegde
Vishakh Hegde@vishakhhegde·
🚀 Excited to share that Inventive AI has raised $4M Seed led by @Sierra_Ventures and participated in by @ycombinator, @Soma_Capital, @generalcatalyst for our mission to build the world's best sales intelligence platform. We are building for AI-first RFP (Request for Proposal) and sales questionnaire workflows that cut busywork by over 70%. This will allow sales team to focus on what really matters - winning the proposal! 💪 Special thanks to our customers, investors and talented teammates who believe in our vision. We’re pumped to push the boundaries of what’s possible in sales intelligence! Check out the press release and some of the news articles in the first comment. @dhiren9, @gaurav_nemade15 and I are super grateful to our investors Mark Fernandes, Anne Gherini, @dessaigne, @koomen, @aaron_epstein, @daltonc, @aneelr, Nikhita Jaaswal & Tamanna Khemani.
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