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Decoding Opportunities and Challenges for LLM Agents in Generative AI

Unite.AI

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. In my previous article , we saw a ladder of intelligence of patterns for building LLM powered applications. Let's look in detail.

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30+ LLM Interview Questions and Answers

Analytics Vidhya

Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. LLM development has accelerated in recent years, leading to widespread use in tasks like complex data analysis and natural language processing.

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Will LLM and Generative AI Solve a 20-Year-Old Problem in Application Security?

Unite.AI

However, a promising new technology, Generative AI (GenAI), is poised to revolutionize the field. This necessitates a paradigm shift in security approaches, and Generative AI holds a possible key to tackling these challenges. The modern LLMs are trained on millions of examples from big code repositories, (e.g.,

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Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcare

Analytics Vidhya

Generative AI models hold promise for transforming healthcare, but their application raises critical questions about accuracy and reliability. Hugging Face has launched an Open Medical-LLM Leaderboard aiming to address these concerns.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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4 ways generative AI addresses manufacturing challenges

IBM Journey to AI blog

Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. An inaccurate AI prediction in a marketing campaign is a minor nuisance, but an inaccurate AI prediction on a manufacturing shopfloor can be fatal.

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Discover New Places on Google Maps with Generative AI

Analytics Vidhya

Google Maps is set to revolutionize the way users explore and discover new places through its latest experiment with generative AI. The tech giant is testing a feature that leverages large language models (LLM) to provide detailed search results, catering to individual preferences and enhancing the overall user experience.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.