- 2x,:1lb bag lentils, 2x broth, 3 carrots, 2 onions, 6 garlic, 1tbsp cumin seeds (not ground), 1/8 tsp Kerala Chile, ginger powder, ginger paste, labneh
- no water
- try insta pot
- fry garlic 30s only, onions 7-8 min
- immersion blend in pot; don't overdo it
- no water
- try insta pot
- fry garlic 30s only, onions 7-8 min
- immersion blend in pot; don't overdo it
Meta AI has released the first stable version of Llama Stack, a unified platform designed to simplify the complexities of building and deploying AI solutions.
Some of the key features and benefits of Llama Stack 0.1.0 include:
Backward-compatible upgrades to ensure seamless integration with future API versions without modifying existing implementations.
Automated provider verification to enable faster and error-free integration with supported providers.
Modular architecture that sets the stage for creating scalable and production-ready applications.
One-stop solution for building production-grade applications, supporting APIs covering inference, Retrieval-Augmented Generation (RAG), agents, safety, and telemetry.
Ability to operate uniformly across local, cloud, and edge environments, making it a standout in AI development.
SDKs for Python, Node.js, Swift, and Kotlin to support developers with tools and templates to streamline the integration process.
Interactive demos and evaluation tools to guide development and benchmark model performance in the Playground environment.
Some of the key features and benefits of Llama Stack 0.1.0 include:
Backward-compatible upgrades to ensure seamless integration with future API versions without modifying existing implementations.
Automated provider verification to enable faster and error-free integration with supported providers.
Modular architecture that sets the stage for creating scalable and production-ready applications.
One-stop solution for building production-grade applications, supporting APIs covering inference, Retrieval-Augmented Generation (RAG), agents, safety, and telemetry.
Ability to operate uniformly across local, cloud, and edge environments, making it a standout in AI development.
SDKs for Python, Node.js, Swift, and Kotlin to support developers with tools and templates to streamline the integration process.
Interactive demos and evaluation tools to guide development and benchmark model performance in the Playground environment.
About the owner of Savetz Publishing, program manager at Internet Archive, and author of several technology books.
The article highlights the importance of preserving the history of amateur radio through the Digital Library of Amateur Radio and Communications (DLARC) project.
Investigation into the effect of DDR5 speed on local LLM inference speed.
d-Matrix is transforming the economics of large-scale inference with Corsair, a platform that delivers blazing fast, commercially viable, and sustainable performance for AI inference at scale.
How can the principles of natural systems can help explain the unexpected abilities of Large Language Models (LLMs). Marin draws parallels between the emergence of complex behaviors in biological systems and the capabilities of LLMs. He suggests that, just as new types of language and language-games emerge in human communication, new types of language models and capabilities can arise in LLMs. Marin also mentions his recent research paper on the topic, which provides a comprehensive mathematical framework and experimental evidence for understanding emergent capabilities in LLMs.
This folder contains some example client scripts using our Python SDK for connecting with Llama Stack Distros. Instructions are provided for setting up dependencies and running demo scripts and apps.
Llama Stack v0.1.0 introduces a stable API release enabling developers to build RAG applications and agents, integrate with various tools, and use telemetry for monitoring and evaluation. This release provides a comprehensive interface, rich provider ecosystem, and multiple developer interfaces, along with sample applications for Python, iOS, and Android.
Meta has launched Llama-Stack 0.1.0, a development platform designed to simplify the process of building AI applications using Llama models. The platform offers standardized building blocks and flexible deployment options, including remote and local hosting. It features a plugin system for various API providers and supports multiple programming environments with its CLI tools and SDKs. Meta aims to address common challenges faced by AI developers, such as integrating tools and managing data sources.
