We just released Transformers' boldest feature: Transformers Agents. This removes the barrier of entry to machine learning Control 100,000+ HF models by talking to Transformers and Diffusers Fully multimodal agent: text, images, video, audio, docs… https://
huggingface.co/docs/transform
ers/transformers_agents
…
LLMS
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Transformers Agents: Democratizing ML with Multimodal Control
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Building AI Agents with LLMs for Multimodal Tasks
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Create an agent using LLMs (OpenAssistant, StarCoder, OpenAI …) and start talking to transformers and diffusers It responds to complex queries and offers a chat mode. Create images using your words, have the agent read the summary of websites out loud, read through a PDF
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Startup Funding Shifts: Post-LLM Hype Era Begins Now
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The question now is: who else? So many startups raised at unicorn levels. While LLMs haven't permeated everything yet—and that'll take a VERY long time—that hype train has stalled and eyes have shifted to more LLM-focused startups.
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MIT’s Liquid Neural Networks: Flexible Brain-Like AI Models
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MIT inventors of liquid neural networks discuss building their brain-like flexible class of AI models: https://
bit.ly/42GRGc2 -
W&B and LLM Stack Leaders Navigate Post-GPT Era
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W&B stuck the landing in the post-GPT era, along with several other hot startups like MosaicML and Anyscale that proved to be an important part of the LLM-powered stack (in particular for training and inference, respectively, based on people I've talked to).
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W&B Raises Capital Driven by Machine Learning and LLM Growth
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W&B didn't need to raise the round, obviously. It's grown substantially on the back of the machine learning—including LLMs. OpenAI is a customer of W&B. So it was a situation where it might as well ask for a big number, and if it didn't stick, that's fine.
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Scale Donovan: First LLM Deployed on Classified Networks
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Scale Donovan is the first LLM deployed on classified networks. Unlike other companies, we are actually on the ground with operators today. We’re seeing a lot of AI tourists pretending to be AI natives. They’re not selling solutions, they’re selling vaporware.
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ML Startups Pre-GPT Era: VC Shift to LLM-Powered Ventures
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Today's issue of Supervised is about startups that jumped on the machine learning hype train… before the GPT era of machine learning. 2020-22 investments with eye-popping valuations in ML startups. Now VCs have shifted eyes to LLM-powered startups.
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LangChain Plan and Execute Agent Documentation
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Python Docs: https://
python.langchain.com/en/latest/modu
les/agents/plan_and_execute.html
… JS/TS Docs: https://
js.langchain.com/docs/modules/a
gents/agents/examples/plan_and_execute_agent
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LangChain Agents Enhance Focus on Complex Task
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Up until now, agents in LangChain have followed the algorithm of: – take user input
– think about action to take
– take action and observe response
– repeat until done This is great for simple tasks, but for more complex tasks we've noticed the agent losing focus