Remove Conversational AI Remove Explainability Remove Prompt Engineering
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AI courses to boost your skills and stay ahead

AI News

Business Analyst: Digital Director for AI and Data Science Business Analyst: Digital Director for AI and Data Science is a course designed for business analysts and professionals explaining how to define requirements for data science and artificial intelligence projects.

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Achieving Critical Reliability in Instruction-Following with LLMs: How to Achieve AI Customer Service That’s 100% Reliable

Marktechpost

Traditional prompt engineering techniques fail to deliver consistent results. Traditional approaches to developing conversational LLM applications often fail in real-world use cases. The two most common approaches are: Iterative prompt engineering, which leads to inconsistent, unpredictable behavior.

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What is a ChatGPT Persona?

Unite.AI

Enter the concept of AI personas, a game-changing development that promises to redefine our interactions with conversational AI. While many are familiar with ChatGPT's prowess as a conversational AI, its true potential extends far beyond standard interactions.

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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

For use cases where accuracy is critical, customers need the use of mathematically sound techniques and explainable reasoning to help generate accurate FM responses. Encoding your domain knowledge into structured policies helps your conversational AI applications provide reliable and trustworthy information to your users.

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Enterprise LLM APIs: Top Choices for Powering LLM Applications in 2024

Unite.AI

turbo, the models are capable of handling complex tasks such as data summarization, conversational AI, and advanced problem-solving. Conversational AI : Developing intelligent chatbots that can handle both customer service queries and more complex, domain-specific tasks.

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Jason Knight is Co-founder and VP of ML at OctoAI – Interview Series

Unite.AI

OctoStack allows organizations to achieve AI autonomy by running any model in their preferred environment with full control over data, models, and hardware. Can you explain the advantages of deploying AI models in a private environment using OctoStack?

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Conversational AI with LangChain and Comet

Heartbeat

This evolution paved the way for the development of conversational AI. These models are trained on extensive data and have been the driving force behind conversational tools like BARD and ChatGPT. Comet has a rich set of features for LLMOps: LLM Projects: It is designed for analyzing prompts, responses, and chaining.