Search for tag: "llm"
Context Optimization vs LLM OptimizationAvinash Asthana, explores the fundamentals of context optimization and LLM optimization, and discuss how to use each approach to improve accuracy, reduce hallucinations, and increase efficiency.… |
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Transforming Language with Generative Pre-trained Transformers (GPT)Martin Keen explores the history, architecture, and applications of GPT, and uncovers the exciting possibilities it holds for the future. But what makes GPT so powerful, and how does it fit into the… |
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What is LangChainLangChain became immensely popular when it was launched in 2022, but how can it impact your development and application of AI models, Large Language Models (LLM) in particular. In this video Martin… |
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茂木健一郎と語るビジネスAIの未来ビジネスにおけるAI活用の未来について、脳科学者の茂木健一郎さんとともに考えるシリーズ「Future of AI」。第1回目は「道半ばのDXにピリオド ビジネス変革がいよいよ始まる」をテーマに、日本IBM執行役員の川上結子とビジネスにおけるAI活用とDXについて深掘りします。… |
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Watsonx.ai - AutoAI for RAGWatch the demo about AutoAI for RAG feature in watsonx.ai, to accelerate the design and deployment of an optimized, production-quality, Retrieval-augmented generation (RAG) pattern based on… |
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What is Granite?Martin Keen discusses the importance of selecting the right large language model (LLM) for enterprise use, highlighting three key metrics: performance, cost-effectiveness, and trustworthiness. He… |
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Reinforcement Learning from Human Feedback (RLHF) ExplainedJoin Martin Keen as he explores Reinforcement Learning from Human Feedback (RLHF), a crucial technique for refining AI systems, particularly large language models (LLMs). Martin breaks down… |
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What are Large Language Model (LLM) Benchmarks?With the wide variety of Large Language Models (LLMs) on the market right now, how do you know which one is best for your use case? LLM Benchmarks are a handy way to get an at a glace view of what… |
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What is Prompt Tuning?Prompt tuning is an efficient, low-cost way of adapting an AI foundation model to new downstream tasks without retraining the model and updating its weights. In this video, Martin Keen discusses… |
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What is Sentiment Analysis?How do companies analyze your online texts to gauge sentiment, using techniques from NLP and machine learning? In this video, Martin Keen explains the power of sentiment analysis and explores… |
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What is Large Scale Generative AI?Whether you're dealing with large language models or seeking efficient ways to handle high request volumes, you need to know how to manage and optimize your AI infrastructure. Join Aaron… |
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5 Generative AI Capabilities for Call Center DashboardsHave you experienced frustrating interactions when calling customer care? In this video, Sai Gorti and Sharath Prasad discuss how you can say goodbye to long waits and repetitive explanations.… |
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How Large Language Models WorkLarge language models-- or LLMs --are a type of generative pretrained transformer (GPT) that can create human-like text and code. There's a lot of talk about GPTs and LLMs lately, but… |
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Generative AI in Network Operations CentersHave you experienced frustrating interactions when calling customer care? In this video, Sai Gorti and Sharath Prasad discuss how you can say goodbye to long waits and repetitive explanations.… |
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How to Build AI Systems you can TrustThe potential for generative AI is enormous, but it's not without risk. Brianne Zavala walks through five ways you can build trusted AI systems so your organization can minimize the legal,… |
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Watsonx.ai: Chat with documentsWatch the demo about the Chat with Documents feature in watsonx.ai, that enables you to augment a large language model (LLM) knowledge base by grounding it with documents. |