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- Small Language Models are the Future of Agentic AI 🤖
Small Language Models are the Future of Agentic AI 🤖
🦾Plus: 🤝Microsoft locks down $19B in AI cloud capacity
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
👨💻Cyber Physical Systems: features, Applications and Challenges
🤖Stumbling into AI: Part 1—MCP
🧠MDNS: Masked Diffusion Neural Sampler
👨💻The Last Programmers
🎙️ Spotify's Plot to Take Down Apple
🤖 Sam Altman: Humans sound like AI
💡 AI Tutorial:Automate web monitoring with AI agents
🤖 AI Tools and Data Tools to checkout
This article provides a summary of and commentary on the recent paper Small LLMs are the Future of Agentic AI. The study is a position paper that lays out several insightful postulates about the potential of small language models (SLMs) to drive innovation in agentic AI systems, compared to their larger counterparts, the LLMs, which are currently the predominant component fueling modern agentic AI solutions in organizations.
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Cyber-physical systems (CPSs) are smart systems that depend on the synergy of cyber and physical components. They link the physical world (e.g. through sensors, actuators, robotics, and embedded systems) with the virtual world of information processing
Model Context Protocol sounds fancy and intimidating, but on first pass after a couple of hours poking around here’s my rough take: MCP exists as an open standard defining a way for LLMs to interact with APIs. This makes a ton of sense, because the alternative is something awful like vibe coding some piece of boilerplate code to call the API to feedback to the LLM.
We study the problem of learning a neural sampler to generate samples from discrete state spaces where the target probability mass function is known up to a normalizing constant, which is an important task in fields such as statistical physics, machine learning, combinatorial optimization, etc. To better address this challenging task when the state space has a large cardinality and the distribution is multi-modal, we propose Masked Diffusion Neural Sampler (MDNS), a novel framework for training discrete neural samplers.
We're the last generation of people who will translate ideas into code by hand. Future developers will just describe what they want and have it appear on the screen. The money and talent flowing into AI development make this future inevitable. The question is whether you'll be ready when it comes. Focus on the parts of product development that actually matter - understanding people, building the things they want, and getting those things in front of them.
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👨💻 Data Tools, Libraries
precloud
An open source command line interface that runs checks on infrastructure as code to catch potential deployment issues before deploying.
OTF
An open source alternative to terraform enterprise.
kysely
A type-safe typescript SQL query builder.
GraphGPT
Extrapolating knowledge graphs from unstructured text using GPT-3.
AI News:
Microsoft has inked a massive deal worth up to $19.4B with Nebius Group. The agreement gives Microsoft access to dedicated AI computing capacity from a new data center in Vineland, NJ, starting later this year. The move comes as the company faces persistent "capacity constrained" conditions. CFO Amy Hood noted ongoing challenges in meeting demand for both internal AI products and Azure services for customers.
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OpenAI CEO, Sam Altman, has admitted that he can no longer tell the difference between humans and bots on social media, taking to social media platform X to declare that “bots have made it impossible to determine whether social media posts are really written by humans.” He made this declaration after scrolling through streams of Reddit posts, praising OpenAI’s AI coding platform, Codex, which left him assuming they must be “fake/bots,” even though he knows “Codex growth is really strong.”
Anthropic has endorsed SB 53, a California Bill that aims to reduce AI’s potential to cause “catastrophic risk” by demanding that AI model developers publish safety frameworks and safety and security reports. According to Anthropic it’s not a question of whether AI governance is needed, these “first-in-the-nation” requirements will carve a path towards the thoughtful development of AI, as opposed to reacting to catastrophe.
Apple's position as a gateway to the digital world is being severely imperiled by efforts from rival tech companies like Epic Games and Spotify. The EU Commission leveled a $2 billion fine against Apple for conduct against Spotify and others in March last year and introduced new laws to limit Apple's control over the App Store.
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Ever since Spotify launched an AI DJ, Amazon Music has been developing its own AI-powered features, including AI-generated playlists and AI-assisted search, to compete more effectively with the music giant. Now Amazon Music is launching a new feature called “Weekly Vibe,” designed to further personalize the listening experience.
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AI Tutorial
📝 Automate web monitoring with AI agents
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