Ollama is a self-hosted AI solution to run open-source large language models on your own infrastructure, and Codestral is MistralAI's first-ever code model designed for code generation tasks. - Source: dev.to / 3 days ago

Finally, you need Ollama, or any other tool that letʼs you run a model and expose it to a web endpoint. In the example, we use Meta's Llama3 model. Models like CodeLlama:7b-instruct also work. Feel free to change the .env file and experiment with different models. - Source: dev.to / 2 days ago

Ollama installed on your system. You can visit Ollama and download application as per your system. - Source: dev.to / 6 days ago

I checked my blog drafts over the weekend and found this one. I remember writing it with "Kubernetes Automated Diagnosis Tool: k8sgpt-operator"(posted in Chinese) about a year ago. My procrastination seems to have reached a critical level. Initially, I planned to use K8sGPT + LocalAI. However, after trying Ollama, I found it more user-friendly. Ollama also supports the OpenAI API, so I decided to switch to using... - Source: dev.to / 10 days ago

Ollama is a command-line tool that allows you to run AI models locally on your machine, making it great for prototyping. Running 7B/8B models on your machine requires at least 8GB of RAM, but works best with 16GB or more. You can install Ollama on Windows, macOS, and Linux from the official website: https://ollama.com/download. - Source: dev.to / 10 days ago

Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI... - Source: dev.to / about 1 month ago

Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / 3 months ago

LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / 4 months ago

Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / 6 months ago