Llama
Meta Llama 3, the next generation of state-of-the-art open source large language model. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases.
Llama 3 uses a tokenizer with a vocabulary of 128K tokens that encodes language much more efficiently, which leads to substantially improved model performance.
We are enthusiasts and lovers of this incredible tool. On this website we will be exploring its possibilities and sharing latest news about Llama 3 Model.
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How to Run Llama 3.1 Locally
Llama 3.1 is the latest large language model (LLM) developed by Meta AI, following in the footsteps of popular models like ChatGPT. This article will guide you through what Llama 3.1 is, why you might want to use it, how to run it locally on Windows, and some of its potential applications. Let’s dive in…
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LLamaIndex Workflows
Today, the LLamaIndex Team introduced Workflows—a new event-driven way of building multi-agent applications. By modeling each agent as a component that subscribes to and emits events, you can build complex orchestration in a readable, Pythonic manner that leverages batching, async, and streaming. Limitations of the Graph/Pipeline-Based Approach The path to this innovation wasn’t immediate. Earlier…
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LlamaCloud
Access control over data is a big requirement for any enterprise building LLM applications. LlamaCloud makes it easy to set this up. LlamaCloud lets you natively index ACLs through our data connectors – for instance, we directly load in the user/org-level permissions as metadata in Sharepoint It’s also easy to inject custom metadata through source…