Tune AI

Introducing our next speaker at the Mixer 🍸 Join Abhishek Mishra as he dives into creating scalable multi-agent systems using Agentic RAG for top-notch performance. 📅 14th Dec 2024 📍 Elastic Office, Domlur, Bengaluru Don’t miss it - register now: https://lu.ma/h3m968uj #tune #elastic #genai #meetup #bengaluru

It’s a bit late, but Sandhya Devanathan’s post gave me the push to share my experience at the Meta Build with AI Summit. 😌 The summit was nothing short of incredible -- a perfect mix of thought-provoking discussions, a glimpse into the future of the Llama Stack, and how Meta is shaping the future of AI. Meta's focus on democratizing AI through an open-source approach, especially with the Llama models, stood out to me. My favorite part was exploring the Llama Stack roadmap shared by Ragavan Srinivasan —it’s an exciting project for developers! (By the way, if you're curious, check out the Llama Stack on GitHub - link in the comment). A personal highlight for me was seeing Tune AI featured at the summit! It was such a proud moment to have our work recognized on such a platform. Fun part was, I got to try the Meta Ray-Ban glasses—an amazing experience! And I even got my own personalized comic story printed by Dashtoon, styled just for me - as a Star Wars Jedi with falcon. Hearing from legends like Yann LeCun and @Nandan Nilekani was the cherry on top. Their perspectives on AI’s transformative role in governance, education, and research were insightful and gave me a lot to think about in terms of leveraging AI for systemic improvements. I particularly loved how bullish Yann LeCun is about India contributing to AI research and driving positive change in the field. And let’s not forget the Hackathon before the summit—it was packed with creativity and brilliant ideas. If you’re interested, check out my earlier post about it (check it out here: https://lnkd.in/dbBFxNpg). A big thanks to Sandhya Devanathan and the Meta team for putting together such a fantastic event. I’m grateful to have been part of it!

Hey Tuners, This week in GenAI, Alibaba's QwQ-32B emerged as a strong competitor to OpenAI’s o1 series, outpacing it in benchmarks like AIME and MATH. With 32.5 billion parameters and advanced reasoning skills, QwQ-32B challenges the dominance of proprietary models, although it still has quirks. Meanwhile, OpenAI is responding with a trademark filing for "o1" amidst rising competition from open-source models like QwQ-32B and Nous Research's Hermes 3. Google Labs is reimagining chess with GenChess, blending AI creativity with traditional gameplay. Exciting times ahead! #newsletter #developer #gpto1 #qwen

Excited to announce our first talk at the GenAI Mixer Bengaluru 🎙️ Join Ashish Tiwari as he dives into strategies to minimize AI hallucinations and boost response accuracy. 📅 14th Dec 2024 📍 Elastic Office, Domlur, Bengaluru Register now: https://lu.ma/h3m968uj #tune #elastic #genai #meetup #bengaluru

Join us for the Tune AI x Elastic GenAI Mixer in Bengaluru 🚀 📅 14th Dec 2024 📍 Elastic Office, Domlur, Bengaluru Exciting talks lined up - speaker announcements dropping soon Register here: https://lu.ma/h3m968uj #tune #elastic #genai #meetup #bengaluru

Menlo Ventures defines the modern AI stack consisting of four layers: > Layer 1 (Compute + Foundation): OpenAI, Unsloth AI, Lamini, Predibase, Modal, Baseten, Fireworks AI, Modular, CentML, Clarifai, DatologyAI, Scale AI, Mercor, Cleanlab, Together AI, Lightning AI, Mosaic > Layer 2 (Data): Databricks, MongoDB, Pinecone, Neon, Reducto, Indexify, unstructured.io, Datavolo, Voyage AI, Superlinked > Layer 3 (Orchestration): Langchain, Llamaindex, CrewAI, Braintrust, Patronus AI > Layer 4 (Tooling): Anon, Arcade AI, Composio, Browserbase, Tiny Fish The tooling layer is the emergent layer which did not exist last year. Menlo Ventures report did not mention any Indian company in this stack (to my knowledge). I have added some prominent ones here to highlight them: > Layer 1: Sarvam, E2E Cloud and Simplismart > Layer 3: Tune AI > Layer 4: Plotch.ai What are the companies based in India which fall in these four layers of AI stack (which I missed)?

Tune AI is now available on the Azure Marketplace! We offer end-to-end solutions for automating document workflows in enterprises. Our IDP solutions help businesses process documents with up to 95% accuracy, cut processing time by 60%, and stay compliant with security standards like HIPAA. From RFPs to medical records, we’ve got your document processing needs covered. Check it out - https://lnkd.in/gTSMjenb #azure #tune #documentprocessing #idp #idpsolutions

Hey Tuners, This week in our newsletter, OpenAI finds itself embroiled in a high-stakes copyright lawsuit, facing allegations of data tampering that could have far-reaching implications for the industry. Meanwhile, Nvidia’s vision for post-recession AI scaling sparks debate as the GPU giant outlines a bold strategy to maintain its dominance in an increasingly competitive hardware landscape. On the innovation front, OpenScholar emerges as a powerful open-source tool designed to revolutionize how researchers navigate and synthesize complex scientific literature. French startup Mistral also makes waves, unveiling multimodal models and enterprise-ready solutions that aim to rival Big Tech’s grip on AI development.

Tune Studio now supports Gemini 🎉 What’s in it for you? - Use your Gemini API keys to create unique AI assistants. - Unlock Gemini’s image recognition and function-calling. - We support Gemini 1.5 Pro 002, Gemini 1.5 Flash 002, and Gemini Experimental 1121 Just add your Gemini API key in Tune Studio and start exploring! Try Now - studio.tune.app

Listen in, our portfolio company, Tune AI has just rolled out its latest feature: Self-hosted LLMs without the hassle! Explore ‘My Cloud’ on their studio. Heartiest congratulations, Naman Maheshwari and Anshuman (Ansh) Pandey and Rohan Pooniwala; kudos to you and your team! #tuneai #mlops #portfoliomanagement #indiasaas #saasmarketing #newfeature Rajiv Vaishnav Abhishek Prasad Shreyas Trivedi Nanika Kakkar Vatsal Bavishi Anurag Srivastava Rachana Redkar Sona Jain Kunal Punjabi Niral Desai Paresh Prabhu Ashwini Nagarkar Prashant More Payal Punatar Doshi Richa Thakur