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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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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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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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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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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.

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RAG and Streamlit Chatbot: Chat with Documents Using LLM

Analytics Vidhya

The interface will be generated using Streamlit, and the chatbot will use open-source Large Language Model (LLM) models, making […] The post RAG and Streamlit Chatbot: Chat with Documents Using LLM appeared first on Analytics Vidhya.

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Building Invoice Extraction Bot using LangChain and LLM

Analytics Vidhya

The introduction of Generative AI took all of us by storm and many things were simplified using the LLM model. The large language model […] The post Building Invoice Extraction Bot using LangChain and LLM appeared first on Analytics Vidhya.

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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

Join Travis Addair, CTO of Predibase, in this exclusive webinar to learn: How guardrails can be used to mitigate risks and enhance the safety and efficiency of LLMs, delving into specific techniques and advanced control mechanisms that enable developers to optimize model performance effectively Why implementing safeguards can significantly improve (..)

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications.