A few takeaways: 1. SLMs are improving rapidly, even at the same parameter size 2. Migrating from LLMs to SLMs is easier than expected
ENTERPRISE AI
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SLMs Over LLMs: Better Choice for Agentic AI Systems
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Here’s why SLMs are a better choice for agentic AI: • High task accuracy on focused, repetitive tasks • Lower memory usage and faster inference • Huge cost savings over time • Easy to slot into a hybrid setup with LLMs for general reasoning
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Small Language Models: Faster, Cheaper Alternatives for Agent Pipelines
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Instead of relying on large, general-purpose LLMs, consider using Small Language Models (SLMs) and integrating them into your agent pipeline. SLMs are faster, cheaper, and in many cases, just as effective for tool-like and repetitive tasks.
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AI Agents vs RPA: Deployment Guide for Business Leaders
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AI Agents vs RPA – What Every Business Leader Needs To Know AI agents and Robotic Process Automation (RPA) may sound similar, but they serve entirely different purposes: RPA follows fixed workflows; AI agents adapt, reason and interact autonomously. Knowing when to deploy each
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ChatGPT Writing Business Proposals: Why It’s Problematic
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THAT PROPOSAL? CHAT GPT WROTE IT. BUT THAT'S NOT THE PROBLEM!!! “In today’s dynamic landscape, we empower businesses to unlock scalable and exponential growth through AI-driven lead generation.” That was the first line of a proposal I received last week. The proposal was
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Enterprise MCP Gateway Solution with Auth and Policy Enforcement
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Check out http://
mintmcp.com for an Enterprise MCP gateway solution that adds auth, logging, policy enforcement… and notifies you automatically if the tools you use change! -
Google Ships Genie 3, Gemini 2.5 Pro, AlphaEarth Updates
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One word: relentless. just in the past two weeks, we’ve shipped: Genie 3 – the most advanced world simulator ever Gemini 2.5 Pro Deep Think available to Ultra subs Gemini Pro free for uni students & $1B for US ed AlphaEarth – a geospatial model of the entire planet
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OpenAI retires GPT models without warning breaking user workflows
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Suddenly retiring every other model without warning was a weird move by OpenAI. … and they did it without explaining how switching models worked or even details of various GPT-5 models …and they did it when everyone has built workflows around older models, breaking them all.
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GPT-5 Integration Challenges: Agent Harness Optimization Delays
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A lot of folks who are having a bad experience are using GPT-5 in agent harnesses that aren't yet optimized for it. For every new model release, there's a time lag between release + when companies that integrate the model have it truly working well. Agent companies rush to