BREAKING! Open-source @huggingface rolled out its version of Assistants in Beta Now everybody can play with these Assistants for free and build their own as well. All Assistant instructions are public (or rather open-source).
TOOLS
-
Adobe Firefly Native App Launch and Password Management
By
–
Adobe Firefly has a native app. Although I haven’t played with it yet because I couldn’t remember my password without LastPass on the thing. Lol
-
Consumer Adoption Strategy: Wait for Price Drop and App Ecosystem
By
–
Average Consumer is a pretty wide spectrum but I’d probably tell most people to experience it because it’s really cool but, if the demo videos and reviews haven’t sold you because you don’t see your own killer use case yet, hold off until price comes down, more apps are
-
Apple Arcade Gaming Service Features Numerous Available Games
By
–
There’s a whole Apple Arcade in there with tons of games already. I’ve only played a few though.
-
Open-Source AI Assistant Competes with OpenAI’s Custom GPTs
By
–
Compared to OpenAI's custom GPTs, it's still missing RAG, web search, actions, and a GPT builder. This puts it below the custom GPT level for now, but it's all in the roadmap for the open-source competitor. All around, it's a nice free alternative. https://
huggingface.co/chat/assistants -
Hugging Face launches free open-source Chat Assistants alternative
By
–
Hugging Face just dropped Chat Assistants, the open-source version of OpenAI GPTs. Here's what stands out: 1. It's completely free to use & share (compared to needing a $20 subscription) 2. You can select from any open-source LLMs to run your Assistant on. Choose from Mixtral,
-
Evaluating LLM Applications: LangSmith Features
By
–
"Is my LLM application getting better or worse over time?" This is one of the biggest questions that AI engineers struggle with. Evaluation of LLM application is still quite difficult. We've recently released two features in LangSmith to make this easier First, to help
-
AI breakthroughs emerge from hands-on experimentation in Jupyter notebooks
By
–
Important breakthroughs in AI will come from tinkering around with ideas and models on Jupyter notebooks.
-
IPAdapters ComfyUI Tutorial Guide for Beginners
By
–
If you haven’t played with IPAdapters much, @cubiq
’s YouTube tutorials for ComfyUI are a great start: -
RAG on User Account Data for Personalized AI Systems
By
–
Slick! Do they also RAG on user specific account data to many it even more personalized?