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.RAvi Chawla (@_avichawla):6 no-code LLMs, Agents, and RAG builder tools for AI engineers:(open-source and production-grade) ...

AI has become a part of our lives. For many of us, it started with that magical moment of discovering Chad GPT, a machine that could finally understand us, speak to us, and even generate reports on command. At that point in 2022, terms like LLM or large language models finally entered all of our vocabulary.But friends, what if I told you that the era of LLMs, at least as we know it, is nearing its end. Not because it's failed, but far from it. It's because we are on the verge of something even more powerful ...

Welcome back to the week in AI. I'm Kevin Cook, your field guide and storyteller for the fascinating arena of artificial intelligence. We did another space on Friday, my myself and my colleague Ethan Feller on um the 28th, Friday the 28th. I had to remember now that we're in July here. Um here were here was the the post basically the invitation for people to to come with my big topics. What's more doomer AI AGI imminent meaning tomorrow or AGI never? That's an important question. And then welcome to the sca ...

Talent Acquisition & Competition - Meta is attempting to recruit OpenAI employees, but OpenAI's CEO downplays the significance, suggesting Meta is not acquiring top-tier talent [1][2] - OpenAI believes its shares offer greater potential upside compared to the publicly traded Meta [2] - Meta is offering substantial multi-year deals, reportedly worth $300 million, to attract scientists and engineers, with some receiving $100 million upfront [3] Cultural & Performance Implications - OpenAI raises concerns about the potential cultural impact within Meta due to high, guaranteed compensation packages, questioning the work ethic of new hires [4] - The industry observes that employees attracted by high paychecks may lack company loyalty and could easily leave for better offers [5] Large Language Model (LLM) Landscape - Meta is actively working to enhance its Llama LLM, but it is currently considered less successful than those developed by Anthropic, OpenAI, and Google [6]

Can Meta deliver on its AI. Got to the right camera in the end there. Lot of all four to get there.Uh, can they deliver on their AI ambitions as the competition heats up. Joining us now, New York University professor emeritus and AI expert Gary Marcus. Gary, great to have you have you with us.I maybe maybe this is a tough question to to answer, but can you buy in outside AI expertise and incorporate it quickly, easily, or is it as complicated as trying to do a massive corporate merger and the kind of teethi ...

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 ...

Core Viewpoint - Apple is considering a shift in its artificial intelligence strategy, potentially abandoning its in-house model development in favor of partnerships with Anthropic and OpenAI for enhancing Siri's capabilities [1][4]. Group 1: AI Strategy Shift - Apple is reportedly planning to forgo its original plan to upgrade Siri with its own "Apple Foundation Models" by 2026, opting instead to explore the integration of external large language models [1]. - Discussions with Anthropic and OpenAI are underway, focusing on training specialized model versions compatible with Apple's cloud infrastructure to enhance user privacy [1][4]. Group 2: Testing and Negotiations - Siri's head, Mike Rockwell, is leading the testing of external models, with results indicating that Anthropic's Claude model outperforms ChatGPT [4]. - Apple’s VP of enterprise development, Adrian Perica, has initiated negotiations with Anthropic, which has proposed licensing fees in the range of hundreds of millions of dollars annually, increasing each year [4]. Group 3: Internal Development and Team Impact - The internal "LLM Siri" project, led by AI head John Giannandrea, is still progressing but at a slow pace, with a team of about 100 people [4]. - The strategy shift has led to significant impacts on Apple's AI team, including the departure of top engineers and potential resignations from the team behind the open-source AI framework MLX [4]. Group 4: Talent Competition - Apple faces intense competition for AI talent, with reports indicating that salaries offered by Meta and OpenAI may exceed Apple's by more than double [5]. - If the collaboration with Siri is successful, Apple may increasingly rely on third-party partnerships for future functionalities, potentially complicating the situation for its AI team [5].

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 ...

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 communication. And if analysts at Bloomberg are correct, it could grow to become a $1.3 trillion market as soon as 2032.Naturally, small companies like SoundHound AI (SOUN -0.91%) would like to claim a slice of this epic opportunity. Let's dig deeper to see if it has what it takes ...

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): ...