Hey, this is Lance from Langchain. You might have heard a lot about the Gemini 2.5% series of models. They've been gaining a lot of attention after a number of releases in recent weeks.I want to show you a few of their capabilities and showcase a really simple but pretty cool researcher I built using the Gemini models and it takes advantage of Gemini's native search tool and video understanding tool for YouTube URLs to do research on a given video as well as a topic. combines that research and will produce ...

Decoding China's Industrial Policy – Prof Fang and team analysed c. 3 million separate policy documents issued from various levels of government (central, provincial, cities, counties, etc). The three main questions they sought to answer were; The availability of LLMs (large language models) and sophisticated engineering allowed an analysis in detail which would not have been possible two years ago. Only 30% of policy documents were issued by central government – Across the 3m documents, c. 26% were explici ...

SoundHound has also seen success in the automotive industry, securing partnerships with Stellenatis (which has its voice assistants installed in several of its European brands) and Lucid Motors, which partnered with SoundHound for its Lucid Assistant launched in January. Generative artificial intelligence (AI) is taking Wall Street by storm -- minting plenty of millionaires in the process. The technology promises to allow machines to replace human labor in tasks that require knowledge, memory, and communica ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):MCP & A2A (Agent2Agent) protocol, clearly explained (with visuals): ...

[Music] Thanks for coming. Thanks for having me here. Um I'm Tongima. I'm um I was uh the CEO and co-founder for HAI.We just recently got acquired by MongoDB. I'm also teaching at Stanford as well. So um this is about rag which is the main focus of forage AI uh the startup who is focusing on how to make retrieval better.So um um but I will just generally talk about you know rag and and we'll touch on some of the products we make as well very quickly. So I guess why we are uh doing rag or anything like that ...

[Music] welcome. Thank you for joining my session this morning. I was thinking that I was in some kind of niche space where people would not be interested, but I'm curious to hear, you know, what brought you to to this session.Anyway, I'm I'm Jesus Barasa. I'm the I'm the field CTO for AI with NEOJ and uh and yeah, for the next like uh 14ish minutes, I'm going to be diving a bit deeper into this uh really powerful combination which is knowledge graphs and uh and large language models to build AI application ...

[Music] Hello everybody. First things first, I actually have to apologize. I uh I was coming into the fair today. I was coming up the escalator to registration because this is my first day at the fair. came for my talk and I saw for the first time this big banner that's said at AI World's Fair.It's like a place for builders, not yappers. And I was a builder once, but I'm definitely a yapper now. Um, so so bear with me, but I think we'll have fun.Um, on that note, I don't love yapping by myself. I love yappi ...

Chris Gandolfo, EVP of OCI and AI Sales at Oracle, and Mark Papermaster explore what it really takes to train and deploy large language models at scale. From evolving compute needs and energy efficiency to the rise of inference, this episode dives deep into the future of enterprise AI infrastructure. 00:00 Series Intro & Host Introduction 00:12 Meet Chris Gandolfo – EVP at Oracle 01:19 AI at an Inflection Point – Oracle’s Perspective 04:48 Does Training Ever End? 05:27 OCI’s Late Entry Strategy – Learning f ...

Oh, it's a great question. Um, you know, I'm trying to think what do I tell my kids to go to school for. What what should they do.The short answer is I don't know. But what I speculate, anything machine learning, AI, large language models. What happened is back in the day, you were competing over Java, Python coders.They'd come in and you they they were preaching top dollar. Whatever they wanted, you had to give it to them. Now, with AI, it will code in any language you want.And so, you can be much more uh ...

RDDT Reddit When investors spot an unusual amount of buying for a given stock, this typically creates the sort of curiosity that can lead to some of the most profitable rabbit holes. However, as this information is now readily available to all retail investors, the "smart money" in the market has figured out a way to still shift massive amounts of capital in a much quieter manner. Reddit Today $142.41 +8.27 (+6.17%) 52-Week Range $49.13 ▼ $230.41 P/E Ratio 241.26 Price Target $139.35 Add to Watchlist Throug ...