Blog
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WordLLama
WordLlama is a utility for NLP and word embedding that repurposes components from large language models (LLMs) to generate efficient and compact word representations, similar to GloVe, Word2Vec, or FastText. It starts by extracting the token embedding codebook from a state-of-the-art LLM (e.g., LLaMA3 70B) and trains a small, context-free model within a general-purpose embedding…
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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…
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Work with Llama 3.1
Ready to start working with Llama 3.1? Here are a few new resources from the Llama team to help you get started. First thing’s first, get access to all of the latest Llama 3.1 models at: https://llama.meta.com/llama-downloads/. Want to access the code, new training recipes and more? Check out the official Llama repo on GitHub:…
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Llama 3.1 405B
In April 2024, Meta launched Llama 3, the latest generation of advanced, open-source large language models. The initial release featured Llama 3 8B and Llama 3 70B, both setting new performance benchmarks for LLMs in their respective sizes. However, within three months, several other models surpassed these benchmarks, highlighting the rapid advancements in artificial intelligence.…
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Multimodal Parsing using Anthropic Claude (Sonnet 3.5)
This cookbook shows you how to use LlamaParse to parse any document with the multimodal capabilities of Claude Sonnet 3.5. LlamaParse allows you to plug in external, multimodal model vendors for parsing – we handle the error correction, validation, and scalability/reliability for you. Setup Download the data. Download both the full paper and also just…
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Llama-3 on Groq
Excitement surrounds the release of two new open-source models designed specifically for tool use: Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use, built with Meta Llama-3. Developed in collaboration with Glaive, these models mark a significant advancement in open-source AI capabilities for tool use and function calling. Llama-3-Groq-70B-Tool-Use has distinguished itself as the top performer on the Berkeley Function Calling…
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LLama Agents by LLamaIndex
Let’s take the common pattern of agents interacting with tools, and turning them into microservices. In llama-agents we allow you to setup both an agent service, which takes in a user input and performs reasoning about the next task to solve, and also a tool service, which can execute any variety of tools and exposes…