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Explore Google's PaLM2 AI model: improvements, specialized versions, and practical applications in the Vertex AI platform. Hands-on demonstrations of various prompting techniques and code examples included.
Explore LangChain Expression Language's features: bindings, OpenAI functions, output parsers, retrievers, tools, and arbitrary functions for enhanced language model interactions.
Explore Code Llama models and fine-tuned alternatives, comparing their capabilities, benchmarks, and recent developments in AI-powered coding assistance.
Explore efficient fine-tuning of large language models using PEFT and LoRA techniques, with a focus on practical implementation and uploading to HuggingFace Hub.
Explore Program-aided Language Models implementation in LangChain, featuring code walkthrough, examples, and practical applications for enhanced language model performance.
Explore Flan-UL2 20B model in Google Colab using 8-bit inference. Learn about zero-shot capabilities, chain-of-thought prompting, and practical applications in various NLP tasks.
Explore LangChain's Tools and Chains: utility functions, basic chains, chaining, PAL Math, and API tools. Learn to develop applications using these powerful components.
Enhance your AI development skills by learning to create and optimize BabyAGI using LangChain, with step-by-step code explanations and practical demonstrations.
Explore advanced RAG techniques with contextual compressors and filters, enhancing information retrieval and processing for more efficient and accurate AI-powered systems.
Explore LangChain Output Parsers to enhance LLM results. Learn structured, comma-separated, Pydantic, fixing, and retry parsers for improved model outputs.
Explore Gemini 1.5 Pro's video analysis capabilities through a practical demonstration, showcasing its ability to summarize, extract information, and generate content from a 50-minute talk.
Explore InternLM: A powerful language model excelling in math, reasoning, and function calling. Learn its features, implementation, and local deployment options.
Explore key trends in LLMs: increasing intelligence, faster processing, cost reduction, and expanding context windows. Gain insights for developing advanced AI applications and agents.
Explore CrewAI's latest updates: enhanced planning, agent training, and advanced features for improved AI performance. Practical demo and code examples included.
Learn Character AI's Prompt Poet framework for efficient prompt assembly and injection. Explore its application in LLM chat formats and discover techniques for enhancing AI interactions.
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