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With the increase in the growth of AI, largelanguagemodels (LLMs) have become increasingly popular due to their ability to interpret and generate human-like text. This observability ensures continuity in operations and provides valuable data for optimizing the deployment of LLMs in enterprise settings.
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Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and ML Engineers seeking to build cutting-edge autonomous systems.
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Hallucinations in largelanguagemodels (LLMs) refer to the phenomenon where the LLM generates an output that is plausible but factually incorrect or made-up. Bharathi Srinivasan is a Generative AIData Scientist at AWS WWSO where she works building solutions for ResponsibleAI challenges.
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Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsibleAI.
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