IBM watsonx provides a studio for AI builders worldwide to train, validate, tune & deploy AI models. The platfrorm is enabling developers from the financial industry to sports scouting to build impressive and impactful things with Llama https://
go.fb.me/e6eilh
LLMS
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IBM watsonx Studio Enables Developers to Build AI Models with Llama
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OuteTTS v0.2: Compact Multilingual TTS with Voice Cloning
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Smol TTS keeps getting better! Introducing OuteTTS v0.2 – 500M parameters, multilingual with voice cloning! 🔥
— Vaibhav (VB) Srivastav (@reach_vb) 25 novembre 2024
> Multilingual – English, Chinese, Korean & Japanese
> Cross platform inference w/ llama.cpp
> Zero-shot voice cloning
> Trained on 5 Billion audio tokens
> Qwen 2.5… pic.twitter.com/N4c4UkfrhzSmol TTS keeps getting better! Introducing OuteTTS v0.2 – 500M parameters, multilingual with voice cloning! > Multilingual – English, Chinese, Korean & Japanese
> Cross platform inference w/ llama.cpp
> Zero-shot voice cloning
> Trained on 5 Billion audio tokens
> Qwen 2.5 -
MCP Flexibility Demonstration Over LLM Search Performance
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Note that the point of this is not to make a performant LLM-powered search engine, this is definitely not that! What it does do is quickly demonstrate how powerful and flexible MCP can be
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Claude can perform web searches using server tools
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After that, just ask Claude to make a web search for you! The server tools automatically get loaded in to the system prompt so that Claude knows it has access to them.
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Connect Claude to Internet Search Engine Using MCP
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I just connected Claude to an internet search engine using MCP.
— Alex Albert (@alexalbert__) 25 novembre 2024
Here's how you can do it too in under 5 minutes: pic.twitter.com/IT4j4AidXwI just connected Claude to an internet search engine using MCP. Here's how you can do it too in under 5 minutes:
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Cerebras Achieves 70x Faster Inference Than NVIDIA
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Curious how we've achieved 70x faster inference than NVIDIA? Watch @learnwdaniel
's talk from Llamapalooza to learn about both the hardware and the software optimizations Cerebras is achieving to power the next generation of AI. Watch: https://
youtu.be/qLKp3mc26Gg?si
=Az8SEXK7y1u-hIeb
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Model Context Protocol: Dev-Focused Standard
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depends on what you can build. It is still more like a dev-focused feature > The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools.
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Anthropic’s Plugin System: How It Compares to OpenAI
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Is this just Anthropic's version of what OpenAI did with ai-plugin.json and plug-ins a while back? Or am I missing something?
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Researcher Returns to Google DeepMind for AI and LLM Research
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Personal / life update: I have returned to @GoogleDeepMind to work on AI & LLM research. It was an exciting 1.5 years at @RekaAILabs and I truly learned a lot from this pretty novel experience. I wrote a short note about my experiences and transition on my personal blog here
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Using Claude to Learn MCP from Documentation
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Feed all the docs into Claude as a plain text file and have Claude teach you about MCP: https://
modelcontextprotocol.io/llms-full.txt