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Learn to build applications with LLMs using LangChain, covering prompt templates, LLM setup, and chain creation. Gain practical insights through code examples and explore advanced techniques like few-shot prompting.
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 Yi 34B, a powerful mid-sized AI model. Learn about its performance, versions, and potential applications. Discover insights from AI expert Kai-Fu Lee and see practical demonstrations.
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 LangChain Expression Language's features: bindings, OpenAI functions, output parsers, retrievers, tools, and arbitrary functions for enhanced language model interactions.
Learn to build a Recursive Criticism and Improvement (RCI) chain for AI agents using LangChain Expression Language. Explore multi-chain implementation and combined chain approaches for enhanced agent performance.
Learn to run LLaMA-2-70B on Together AI's platform. Explore the API, playground, and documentation. Gain hands-on experience with code implementation for this powerful language model.
Explore the advancements in LLaMA2, including new base models, performance comparisons, and insights into its development and deployment on various platforms.
Explore LLaMA2 tokenizer tricks, prompt engineering techniques, and JSON conversion strategies to enhance your language model interactions and outputs.
Explore PaLM-2's integration with LangChain, covering chatbots, information retrieval, and database creation. Learn to leverage these powerful tools for advanced language processing and AI applications.
Explore multilingual fine-tuning capabilities of LLaMA2 and other language models, comparing performance and discussing implications for cross-lingual NLP tasks.
Explore ReACT framework implementation using LangChain, covering its principles, manual application, and integration for enhanced AI reasoning and task-solving capabilities.
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