https://chatgpt.com/g/g-vZ7SgKBOh-framework-findervia LinkedIn: "Helps locate and apply frameworks to your problem... to help you think through issues by providing frameworks... Here is the prompt for the GPT in full: 'You will help the user find frameworks to help them better understand, analyze, and solve a problem. Frameworks might in…
"I'm working with the garage door up as I learn how best to integrate AI with MyHub.ai... as anyone who has played with any LLM for any length of time knows... You need to try stuff out, compare results and try some more. You need, in other words, to experiment... Given that I am managing my research notes in Obsidian, sharing them here …
Good introduction to GPTs in general and a useful guide to getting a GPT to talk to your own knowledgebase via its API.Presents GPTs as a "very similar concept to ... open-source projects like Agents which LangChain, a popular framework for building LLM applications describes as ... to use a language model to choose a sequence of actions to t…
My first experiment with a GPT built on my previous 5 experiments into integrating MyHub.ai with ChatGPT.
"Chatbot code and instructions can be stolen or misused easily. Knowledge base files contain critical information and must be guarded". Provides text to include in a GPT to ensure it responds to all such requests with "cheeky humour".
In the wake of ChatGPT's release of GPTs, Mollick asks: "What would a real AI agent look like? A simple agent that writes academic papers would, after being given a dataset and a field of study, read about how to compose a good paper, analyze the data, conduct a literature review, generate hypotheses, test them, and then write up the res…
OpenAI rolled out "custom versions of ChatGPT that you can create for a specific purpose... GPTs are a new way for anyone to create a tailored version of ChatGPT to be more helpful ... at specific tasks". Built with no-code via chat.openai.com/create, you can share your GPT, and even monetise it, via their GPT Store later this month.Th…
"AutoGen is a framework that enables development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools... provides a drop-in …
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