🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

This is huge: Llama-v2 is open source, with a license that authorizes commercial use! This is going to change the landscape of the LLM market. Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers Pretrained and fine-tuned

llama.cpp is one of the first tools that comes to mind when running LLMs locally. It uses the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference without a GPU! 🏎️ Thanks to Ashwin Mathur, Haystack now has llama.cpp integration that

With llama.cpp integration of Haystack (kudos to Ashwin Mathur), you can use local LLMs in your pipelines. Just follow these steps👇 1️⃣ Install llama.cpp for your preferred compute backend: github.com/abetlen/llama-… 2️⃣ Install llama-cpp-haystack integration: haystack.deepset.ai/integrations/l…

We are thrilled to announce the stable version of Haystack 2.0 🎉 We’ve been working on this for a while and now Haystack 2.0 has everything to help you implement composable LLM applications that are easy to use, customize, extend, optimize, evaluate, and deploy to production.

Voyage text embeddings and rerankers are now available in Haystack, an open-source AI framework by @deepset_AI !🚀 To get started, check out the Voyage integration page on Haystack: haystack.deepset.ai/integrations/v… Shout out to Ashwin Mathur for laying the foundation for this integration!