That's a wrap!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):7 LLM generation parameters, clearly explained (with visuals): ...

Business Scaling & Funding - The company raised funds to support scaling infrastructure and customer growth [1][2] - Scaling involves increased compute resources and talent acquisition [3][4] Core Technology & Differentiation - The company is building a search index for AI, distinct from traditional search engines like Google [4][5] - The company's search technology allows searching through hundreds of websites to provide summarized answers [5] - The company emphasizes the importance of the search infrastructure layer, suggesting that it will not be commoditized like LLMs [14] Market & Competition - The company focuses on the enterprise market, where there is more open space compared to the consumer market with monopolies or duopolies [8] - The company sees the productivity in enterprise as the killer app for LLMs [9] - The company is focused on building APIs and transfusions for customers [11] Customer Base & Scale - The company serves customers like Harvey, Knife Edge, DuckDuckGo, and Telegraph [2] - The company's AI solutions are used over 1 billion times per month [14] Strategic Direction - The company aims to build an enduring company focused on providing answers and enabling customers to build their own agents [7] - The company is not interested in being acquired [7]

Nvidia's Supply and Demand - Nvidia's products are currently sold out, indicating high demand and limited supply [1] - The primary concern is the allocation of available products to different sectors [1] Future Market Focus - The industry anticipates that inference will become a larger business than model training [2] - Inference is likened to the use of electricity, while model training is compared to building a power plant, suggesting a shift in focus towards application [2] Nvidia's Strategy - Nvidia aims to provide the most powerful chips globally, positioning them as the "Ferraris of computing" [3] - Nvidia believes that high-performance chips are the optimal solution for computing needs [3]

That's a wrap!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):Function calling & MCP for LLMs, clearly explained (with visuals): ...

Agent Backend - xpander is a production-ready backend for Agents managing memory, tools, states, version control, and guardrails [1] - xpander is a plug-and-play solution [1] - xpander is fully self-hostable [1] Framework Compatibility - xpander works with any framework, including CrewAI, Agno, and Langchain [1] Key Features - xpander manages memory, tools, states, version control, and guardrails [1]

AI Bias Concerns - The report highlights concerns about bias in large language models like OpenAI's ChatGPT and Google's Gemini [1] - The president is not alone in worrying about bias in large language models [1]

That's a wrap!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):There's a new way to build production-grade MCP servers.- It takes less than a minute.- You don't have to write any code.- You can integrate from 100k+ tools.Here's a step-by-step breakdown (100% local): ...

For years, big tech companies’ investment into developing large language models have sent asset prices soaring, creating a dynamic in which index funds are heavily weighted to a single industry.@edzitron tells @chafkin and @svaneksmith on the Everybody’s Business podcast what could happen to the economy — and your investments — should the industry falter https://t.co/qSwm0RcP17 ...

Market Trends & Industry Dynamics - Big tech companies' investment in large language models has caused asset prices to soar [1] - Index funds are now heavily weighted towards a single industry (big tech) [1] Investment Risks - The economy and investments could be negatively impacted if the big tech industry falters [1]

Market Trends & Industry Dynamics - Big tech companies' investment in large language models has caused asset prices to soar [1] - Index funds are now heavily weighted towards a single industry (big tech) [1] Investment Risks - The economy and investments could be negatively impacted if the big tech industry falters [1]