
Janakiram MSV
Senior Contributor at Forbes
Principal and Analyst at Janakiram MSV
Analyst | Advisor | Architect
Articles
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2 days ago |
thenewstack.io | Janakiram MSV
MCP servers are excellent candidates for exposing data from traditional databases as context to large language models (LLMs). Since these MCP servers reside on-premises closer to the data sources, we need a mechanism to expose them to remote LLMs and agents. In this tutorial, we will explore how to utilize Ngrok to securely expose MCP servers to hosted LLMs. We will first build an MCP server based on streamable HTTP transport that returns data.
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2 days ago |
flipboard.com | Janakiram MSV
8 hours agoMost people interested in generative AI likely already know that Large Language Models (LLMs) — like those behind ChatGPT, Anthropic’s Claude, and Google’s Gemini — are trained on massive datasets: trillions of words pulled from websites, books, codebases, and, increasingly, other media such as …
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6 days ago |
forbes.com | Janakiram MSV
In April 2025, Hugging Face acquired Pollen Robotics, a France-based company that develops humanoid robots, including Reachy 2. This marks a milestone in the convergence of generative AI and robotics, known as physical AI. This article analyzes the strategic reasons behind Hugging Face's acquisition of Pollen Robotics.
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1 week ago |
forbes.com | Janakiram MSV
French artificial intelligence company Mistral AI released a comprehensive agent development platform that enables enterprises to build autonomous AI systems capable of executing complex, multi-step business processes. The recently launched Agents API positions the Paris-based startup as a direct competitor to OpenAI’s Agents SDK, Azure AI Foundry Agents and Google’s Agent Development Kit in the rapidly expanding market for enterprise automation.
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2 weeks ago |
thenewstack.io | Janakiram MSV
Docker Model Runner is a new feature of the Docker Desktop designed to streamline the process of running and testing AI models locally within the Docker ecosystem. It addresses the long-standing challenges developers face when integrating generative AI and large language models into their workflows, such as fragmented tooling, complex environment setup and inconsistent model management.
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Model Context Protocol: A Primer for the Developers: https://t.co/u7914l9ZVs via @thenewstack

RT @thenewstack: Model Context Protocol: A Primer for the Developers | By @janakiramm https://t.co/xPwjlxPNVf

RT @Docker: We’re bringing container workflows to AI models and MCP tools—and @Forbes is here for it 📰 “Docker Brings Familiar Container Wo…