Agents
The Semantic Layer
for every data app
Connect data silos, drive consistent metrics, and power your AI and analytics with context.
for every data app
Connect data silos, drive consistent metrics, and power your AI and analytics with context.
Cube β Semantic Layer for Building Data Applications
AgentTuning: Enabling Generalized Agent Abilities For LLMs
π€ Model (AgentLM-70B) β’ π€ Dataset (AgentInstruct) β’ π Paper β’ π Project Page
δΈζη(Chinese)
AgentTuning represents the very first attempt to instruction-tune LLMs using interaction trajectories across multiple agent tasks. Evaluation results indicate that AgentTuning enables the agent... See more
π€ Model (AgentLM-70B) β’ π€ Dataset (AgentInstruct) β’ π Paper β’ π Project Page
δΈζη(Chinese)
AgentTuning represents the very first attempt to instruction-tune LLMs using interaction trajectories across multiple agent tasks. Evaluation results indicate that AgentTuning enables the agent... See more
THUDM β’ GitHub - THUDM/AgentTuning: AgentTuning: Enabling Generalized Agent Abilities for LLMs
In the open-source community, there are huge numbers of people leveraging AutoGen in creative ways, and solving surprising problems. One pattern that we see as fundamental is the "generator+critic" pattern, where one agent generates content (writing, code, etc.) and another agent critiques it (finds bugs, etc.) They can iterate until the solution... See more
Shortwave β rajhesh.panchanadhan@gmail.com [Gmail alternative]
Here are example ways to increase the success rate of these custom agents:
Provide a more focused, use-case specific system prompt to kick things off. Since you know what kinds of goals the agent supports, you can improve the odds of coming up with the right set of tasks initially. In fact, thereβs nothing wrong with actually defining the set of... See more
Provide a more focused, use-case specific system prompt to kick things off. Since you know what kinds of goals the agent supports, you can improve the odds of coming up with the right set of tasks initially. In fact, thereβs nothing wrong with actually defining the set of... See more
Shortwave β rajhesh.panchanadhan@gmail.com [Gmail alternative]
React.js LLM Agent for next generation codingReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
ReactAgent - The open-source React.js LLM Agent
Self-Operating Computer Framework
A framework to enable multimodal models to operate a computer.
Using the same inputs and outputs of a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective.
Key Features
A framework to enable multimodal models to operate a computer.
Using the same inputs and outputs of a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective.
Key Features
- Compatibility : Designed for various multimodal models.
- Integration : Currently
OthersideAI β’ GitHub - OthersideAI/self-operating-computer: A framework to enable multimodal models to operate a computer.
ht - headless terminal
ht (short for headless terminal ) is a command line program that wraps an arbitrary other binary (e.g. bash , vim , etc.) with a VT100 style terminal interface--i.e. a pseudoterminal client (PTY) plus terminal server--and allows easy programmatic access to the input and output of that terminal (via JSON over stdin/stdout). ht... See more
ht (short for headless terminal ) is a command line program that wraps an arbitrary other binary (e.g. bash , vim , etc.) with a VT100 style terminal interface--i.e. a pseudoterminal client (PTY) plus terminal server--and allows easy programmatic access to the input and output of that terminal (via JSON over stdin/stdout). ht... See more
GitHub - andyk/ht: headless terminal - wrap any binary with a terminal interface for easy programmatic access.
Large Language Model State Machine (llmstatemachine)
Introduction
llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.
Introduction
llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.
- Chat History as Memory : Leverages large context window models, making chat history the primary source of agent memory.
- Custom Python Functions with JSON Generation : Allows the
GitHub - robocorp/llmstatemachine: A Python library for building GPT-powered agents with state machine logic and chat history memory.
π€ Create perpetual chatbots with self-editing memory!
ποΈ Chat with your data - talk to your SQL database or your local files!
π You can also talk to docs - for example ask about LlamaIndex!
ποΈ Chat with your data - talk to your SQL database or your local files!
π You can also talk to docs - for example ask about LlamaIndex!