Langfuse VS Ollama

Using the Burr UI to monitor is not the only way. You can integrate your own by leveraging lifecycle hooks, enabling you to log data in a custom format to, say, datadog, langsmith, or langfuse. - Source: dev.to / 20 days ago

Langfuse (YC W23) | https://langfuse.com | Full-Time | Berlin, Germany | on-site | LLM Observability and Analytics Langfuse is open source [1] observability and analytics tool for LLM applications — think Amplitude and Datadog for LLM apps. Our users use Langfuse to understand what happens in production and use our insights to improve their applications. We have built a number of... - Source: Hacker News / 7 months ago

Langfuse makes tracing and analyzing LLM applications accessible. It is an open-source project under MIT license. - Source: dev.to / 8 months ago

One thing I've noticed is that gemma is much less verbose by default. [0] https://github.com/ollama/ollama. - Source: Hacker News / about 1 month ago

A few weeks ago, I started using Ollama to run language models (LLM), and I've been really enjoying it a lot. After getting the hang of it, I thought it was about time to try it out on one of our real-world cases (I'll share more about this later). - Source: dev.to / about 2 months ago

GitHub - ollama/ollama: Get up and running with Llama 2, Mistral, Gemma, and other large language models. - Source: dev.to / 3 months ago

Looks like it's already available on Linux & Mac. The change is that they're adding Windows: https://github.com/ollama/ollama. - Source: Hacker News / 3 months ago

They have a high level summary of ram requirements for the parameter size of each model and how much storage each model uses on their GitHub: https://github.com/ollama/ollama#model-library. - Source: Hacker News / 4 months ago