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type-post status-publish format-standard has-post-thumbnail hentry category-modeling category-nlp-text-analytics"> <div class="image"> <a href="https://opendatascience.com/8-environments-and-platforms-for-multi-agent-systems/"><img src="https://opendatascience.com/wp-content/uploads/2024/11/Shutterstock_2532116791-180x180.jpg" alt="8 Environments and Platforms for Multi-Agent Systems"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/8-environments-and-platforms-for-multi-agent-systems/">8 Environments and Platforms for Multi-Agent Systems</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/category/modeling/nlp-text-analytics/" title="NLP & LLMs" class="tag-default">NLP & LLMs</a>posted by <a href="https://opendatascience.com/user/admin_odsc/" title="NLP & LLMs" class="tag-defaultic">ODSC Team</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >November 25, 2024</span> </span> </p> </div> <div class="intro"> Multi-agent systems have taken the AI world by storm, offering unparalleled capabilities for solving complex problems through distributed intelligence. By leveraging multiple AI agents that interact and collaborate, organizations can streamline workflows, enhance decision-making, and explore new realms of innovation in ways unimaginable even a decade... <a href="https://opendatascience.com/8-environments-and-platforms-for-multi-agent-systems/" class="more-link">Read more</a> </div> </div> <div class="post-item post-49151 post type-post status-publish format-standard has-post-thumbnail hentry category-modeling category-nlp-text-analytics"> <div class="image"> <a href="https://opendatascience.com/the-role-of-prompt-tokens-in-enhancing-instruction-tuning/"><img src="https://opendatascience.com/wp-content/uploads/2024/11/Shutterstock_2479885821-180x180.jpg" alt="The Role of Prompt Tokens in Enhancing Instruction Tuning"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/the-role-of-prompt-tokens-in-enhancing-instruction-tuning/">The Role of Prompt Tokens in Enhancing Instruction Tuning</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/category/modeling/nlp-text-analytics/" title="NLP & LLMs" class="tag-default">NLP & LLMs</a>posted by <a href="https://opendatascience.com/user/eleanor-hecks/" title="NLP & LLMs" class="tag-defaultic">Eleanor Hecks</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >November 23, 2024</span> </span> </p> </div> <div class="intro"> A pretrained large language model (LLM) consumes a tremendous amount of human-generated data to provide natural-sounding responses. While its replies to generic input are generally convincing, instruction tuning and fine-tuning is essential for enhancing output for use-case-specific tasks without compromising the underlying logic embodied in its... <a href="https://opendatascience.com/the-role-of-prompt-tokens-in-enhancing-instruction-tuning/" class="more-link">Read more</a> </div> </div> <div class="post-item post-49072 post type-post status-publish format-standard has-post-thumbnail hentry category-modeling category-nlp-text-analytics tag-podcast"> <div class="image"> <a href="https://opendatascience.com/understanding-the-core-limitations-of-large-language-models-insights-from-gary-marcus/"><img src="https://opendatascience.com/wp-content/uploads/2024/01/shutterstock_2336536143-180x180.jpg" alt="Understanding the Core Limitations of Large Language Models: Insights from Gary Marcus"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/understanding-the-core-limitations-of-large-language-models-insights-from-gary-marcus/">Understanding the Core Limitations of Large Language Models: Insights from Gary Marcus</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/category/modeling/nlp-text-analytics/" title="NLP & LLMs" class="tag-default">NLP & LLMs</a><a href="https://opendatascience.com/tag/podcast/" title="NLP & LLMs" class="tag-default">Podcast</a>posted by <a href="https://opendatascience.com/user/admin_odsc/" title="NLP & LLMs" class="tag-defaultic">ODSC Team</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >November 15, 2024</span> </span> </p> </div> <div class="intro"> In a recent episode of ODSC’s Ai X Podcast, which was recorded live during ODSC West 2024, Gary Marcus, an influential AI researcher, shared a critical perspective on the limitations of large language models (LLMs), emphasizing the need for true reasoning capabilities in AI. Gary Marcus... <a href="https://opendatascience.com/understanding-the-core-limitations-of-large-language-models-insights-from-gary-marcus/" class="more-link">Read more</a> </div> </div> <div class="post-item post-49029 post type-post status-publish format-standard has-post-thumbnail hentry category-generative-ai category-modeling category-nlp-text-analytics"> <div class="image"> <a href="https://opendatascience.com/an-intro-to-prompt-tuning-of-generative-multimodal-pretrained-models/"><img src="https://opendatascience.com/wp-content/uploads/2024/01/Untitled-design-7-180x180.png" alt="An Intro to Prompt Tuning of Generative Multimodal Pretrained Models"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/an-intro-to-prompt-tuning-of-generative-multimodal-pretrained-models/">An Intro to Prompt Tuning of Generative Multimodal Pretrained Models</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/generative-ai/" title="Generative AI" class="tag-default">Generative AI</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/category/modeling/nlp-text-analytics/" title="NLP & LLMs" class="tag-default">NLP & LLMs</a>posted by <a href="https://opendatascience.com/user/eleanor-hecks/" title="NLP & LLMs" class="tag-defaultic">Eleanor Hecks</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >November 11, 2024</span> </span> </p> </div> <div class="intro"> Eventually, artificial intelligence experiences diminishing returns. While retraining or updating can restore it, those approaches are costly and time-consuming. Prompt tuning is a modern alternative that enables generative multimodal pretrained models to achieve high performance without sacrificing quality. 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Be sure to check out his talk, “Going Small: Twice as Fast and a Third Cheaper with Model Distillation,” there! Apple announced that their Apple Intelligence starts with on-device small language models (SLMs). 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Be sure to check out his talk, “LLMs from Prototype to Production – LLMOps, Prompt Engineering, and Moving LLMs to the Cloud,” there! Introduction – Bridging the Gap Between Prototype and Production Working... <a href="https://opendatascience.com/from-prototype-to-production-mastering-llmops-prompt-engineering-and-cloud-deployments/" class="more-link">Read more</a> </div> </div> <div class="post-item post-48797 post type-post status-publish format-standard has-post-thumbnail hentry category-modeling category-nlp-text-analytics tag-west-2024"> <div class="image"> <a href="https://opendatascience.com/reducing-hallucinations-by-95-with-memory-tuning/"><img src="https://opendatascience.com/wp-content/uploads/2024/10/666a537aeb09fba3fa99cc23_hero-mt-p-2000-1-180x180.png" alt="Reducing Hallucinations by 95% with Memory Tuning"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/reducing-hallucinations-by-95-with-memory-tuning/">Reducing Hallucinations by 95% with Memory Tuning</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/category/modeling/nlp-text-analytics/" title="NLP & LLMs" class="tag-default">NLP & LLMs</a><a href="https://opendatascience.com/tag/west-2024/" title="NLP & LLMs" class="tag-default">West 2024</a>posted by <a href="https://opendatascience.com/user/odsc-community/" title="NLP & LLMs" class="tag-defaultic">ODSC Community</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >October 8, 2024</span> </span> </p> </div> <div class="intro"> Editor’s note: Sharon Zhou is a speaker for ODSC West this October 29th-31st! Be sure to check out her talk, “Removing Hallucinations by 95% with Memory Tuning: A Technical Deep Dive,” there! There’s no question that LLMs are unlocking new capabilities across all sectors. 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Claude models have three key capabilities: Advanced reasoning Claude can perform complex cognitive tasks that go beyond simple pattern recognition or text generation Code generation Start creating websites... <a href="https://opendatascience.com/best-practices-for-prompt-engineering-in-claude-mistral-and-llama/" class="more-link">Read more</a> </div> </div> </div> </div>  <div class="pages"> <ul class="pagination"> <li><span aria-current="page" class="page-numbers current">1</span></li><li><a class="page-numbers" href="https://opendatascience.com/category/modeling/nlp-text-analytics/page/2/">2</a></li><li><a class="page-numbers" href="https://opendatascience.com/category/modeling/nlp-text-analytics/page/3/">3</a></li><li><span class="page-numbers dots">…</span></li><li><a class="page-numbers" href="https://opendatascience.com/category/modeling/nlp-text-analytics/page/27/">27</a></li><li class="next"><a href="https://opendatascience.com/category/modeling/nlp-text-analytics/page/2/" 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