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Artificial Intelligence
Microsoft’s Inference Framework Brings 1-Bit Large Language Models to Local Devices
On October 17, 2024, Microsoft announced BitNet.cpp, an inference framework designed to run 1-bit quantized Large Language Models (LLMs). BitNet.cpp is a big progress in Gen AI, enabling the deployment of 1-bit LLMs efficiently...
Artificial Intelligence
Local Generative AI: Shaping the Way forward for Intelligent Deployment
2024 is witnessing a remarkable shift within the landscape of generative AI. While cloud-based models like GPT-4 proceed to evolve, running powerful generative AI directly on local devices is becoming increasingly viable and attractive....
Artificial Intelligence
Brazil Halts Meta’s AI Training on Local Data with Regulatory Motion
Brazil's National Data Protection Authority (ANPD) has halted Meta's plans to make use of Brazilian user data for artificial intelligence training. This move is available in response to Meta's updated privacy policy, which might...
Artificial Intelligence
Making climate models relevant for local decision-makers
Climate models are a key technology in predicting the impacts of climate...
Artificial Intelligence
promptrefiner: Using GPT-4 to Create a Perfect System Prompt for Your Local LLM
You see the primary a part of this prompt is my system prompt that tells the LLM the best way to generate the reply, and the second part is my user prompt, which is…
Artificial Intelligence
Running Local LLMs and VLMs on the Raspberry Pi
Get models like Phi-2, Mistral, and LLaVA running locally on a Raspberry Pi with OllamaTo wrap all of it upAt this point we're just about done with the goals of this text. To recap,...
Artificial Intelligence
Partnership with American Journalism Project to support local news
This news was originally shared by the American Journalism Project and may be read here.The American Journalism Project, the leading enterprise philanthropy working to rebuild local news, today announced a latest partnership with OpenAI,...
Artificial Intelligence
Araucana XAI: Local Explainability With Decision Trees for Healthcare
Introducing a recent model-agnostic, post hoc XAI approach based on CART to supply local explanations improving the transparency of AI-assisted decision making in healthcareWithin the realm of artificial intelligence, there may be a growing...
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