![Exploring LLM Agents through Practical Code Interpreter example (Low-code) | by Yanli Liu | Level Up Coding Exploring LLM Agents through Practical Code Interpreter example (Low-code) | by Yanli Liu | Level Up Coding](https://miro.medium.com/v2/resize:fit:1400/1*_XHrX-enVq03vlMXNC0gVg.jpeg)
Exploring LLM Agents through Practical Code Interpreter example (Low-code) | by Yanli Liu | Level Up Coding
Jerry Liu on X: "We just did a *big* documentation revamp within @gpt_index 0.5.0 to better highlight its capabilities as an LLM data interface/management tool: - 💡Core Use Cases - 🔌Integration with
![Make Langchain Agent Actually Work With Local LLMs (Vicuna, WizardLM) | by gArtist | Better Programming Make Langchain Agent Actually Work With Local LLMs (Vicuna, WizardLM) | by gArtist | Better Programming](https://miro.medium.com/v2/resize:fit:1358/1*5TnpUZnp4-sq8TuJGYe_-w.png)
Make Langchain Agent Actually Work With Local LLMs (Vicuna, WizardLM) | by gArtist | Better Programming
GitHub - xlang-ai/xlang-paper-reading: Paper collection on building and evaluating language model agents via executable language grounding
![We know That LLMs Can Use Tools, But Did You Know They Can Also Make New Tools? Meet LLMs As Tool Makers (LATM): A Closed-Loop System Allowing LLMs To Make Their Own We know That LLMs Can Use Tools, But Did You Know They Can Also Make New Tools? Meet LLMs As Tool Makers (LATM): A Closed-Loop System Allowing LLMs To Make Their Own](https://www.marktechpost.com/wp-content/uploads/2023/05/Screenshot-2023-05-31-at-11.03.22-PM.png)