Discover how to deploy open-source LLMs using LLM agent frameworks, orchestration frameworks, and LLMOps platforms. Learn about serving frameworks like vLLM and Ollama, and explore LLMOps tools that enhance language model performance in production environments.
Read moreDiscover top open source LLM frameworks and orchestration tools. Explore popular LLM projects, including LangChain and LlamaIndex, for seamless integration. Learn about Python LLM libraries, LLM agent frameworks, and the best tools for LLM development and orchestration.
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With the rapidly expanding use of large language models (LLMs) in downstream products, the need to ensure performance and reliability is crucial. But with random outputs and non-deterministic behaviour how do you know if you application performs, or works at all? This webinar offers a comprehensive, vendor-agnostic exploration of techniques and best practices for testing and evaluating LLMs, ensuring they meet the desired success criteria and perform effectively across varied scenarios.
Read moreWatch our webinar to explore Retrieval Augmented Generation (RAG) and its integration with Large Language Models (LLMs). Learn about RAG use cases, advanced LLM architectures, and techniques to enhance AI applications. Ideal for professionals utilizing or interested in RAG and LLM-powered systems.
Read moreWhy might we want to make an LLM talk? The concept of having a human-like conversation with an advanced AI model is an interesting idea that has many practical applications. Voice-based models are transforming how we interact with technology, making interactions more natural and intuitive. By enabling AI to talk, we open the door to numerous practical applications, from accessibility to enhanced human-machine interactions. This guide explores how to create a voice-based chatbot using OpenAI, Vocode and ElevenLabs.
Read moreDiscover how integrating voice models with large language models (LLMs) can revolutionize IVR systems enhancing the user experience. Learn about the data and security concerns and potential implementations.
Read moreThis presentation investigates several common production-ready architectures for RAG and discusses the pros and cons of each. At the end of this talk you will be able to help design RAG augmented LLM architectures that best fit your use case.
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In an insightful session presented by Enrico Rotundo, we explore the innovative approach to scaling StableAudio globally. This presentation sheds light on the synergy between NVIDIA Triton and AWS SageMaker.
Read moreInterest in the use of large language models (LLMs) has ballooned in our recent AI consulting projects because they are applicable to a wide variety of AI problems. But most use cases require the use of proprietary data. What’s the best way of leveraging private or local data in LLMs?
Read moreAn introduction to the challenge of fitting big data into the context windows of LLMs. In this second installment, discover the key strategies involved to improve your use of the context window. Subsequent articles will provide more examples.
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