Try our AI Agent — Personal Assistant: https://
hyperwriteai.com/personal-assis
tant
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TOOLS
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Hyperwrite Launches AI Personal Assistant Agent
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Zapier Recognizes AI Agent as Top Productivity Tool
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Check us out in the AI Agent category as one of @zapier top AI productivity tools of 2023
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Open source real-time Drupal editor for collaborative content workflows
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Want to edit #Drupal nodes with your colleagues in real time? We're building an #opensource editor that will streamline content workflows and peer-to-peer collaboration!
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Are Traditional NLP Tasks Obsolete in the LLM Era?
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Large Language Models are obviously transformatory for tasks like summarisation, paraphrasing, question answering — and of course as applications in themselves. But what if you want to do “boring” things like tect categorization, entity recognition, etc? Are these obsolete?
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Stability AI Launches New Developer Platform
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Check out our new developer platform, at http://
platform.stability.ai! Our user-friendly platform offers easy experimentation, simplified API key management, and smooth navigation. Elevate your development process with us. #stabilityai #ai #developers #api #innovation -
Hugging Face Papers Daily Email Released
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https://
huggingface.co/papers email for 19 July is out -
Llama 2 70B Now Available on HuggingChat
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Llama 2 (70B) just landed in HuggingChat This is the largest running version of the model from @MetaAI
, running on fast optimized inference on @huggingface infra. Unleash the llamas! Try it out now http://
hf.co/chat -
Trending AI models datasets spaces weekly on Hugging Face
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Trending models, datasets and spaces of the week on http://
hf.co/models takeover! -
LangSmith Early Access for Autonomous Agents Hackathon
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Building agents is hard We'll give all attendees of this autonomous agents hackathon early access to LangSmith, which will hopefully make this easier https://
docs.smith.langchain.com/overview Excited to see what is built! -
Foundation Models vs APIs: Different Tech Stack Levels
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Comparing an open-source foundation model to an API is like comparing an engine to a car. These are two very different things at different levels of the tech stack that serve different purposes, create different opportunities & require different team/efforts to take advantage of.