NLP

Federated Learning and Privacy-preserving RAGs

September 28, 2024
Posted by Luca Berton
RAG, federated learning, privacy-preserving AI, Luca Berton, AI course, Pluralsight, machine learning, information retrieval, secure AI, TensorFlow Federated, PyTorch, OpenMined, Microsoft SEAL, data privacy, decentralized learning, AI security, customer support AI, NLP, generative AI, AI solutions

Watch on Pluralsight Introduction In the ever-evolving landscape of AI and machine learning, customer support is a field that demands quick and precise responses.

Evaluating RAG Solutions by Luca Berton on Pluralsight

August 12, 2024
Posted by Luca Berton
RAG, Retrieval Augmented Generation, AI, machine learning, AI training, Luca Berton, Pluralsight, customer support AI, AI solutions, LLM, AI development, information retrieval, NLP, TensorFlow, PyTorch, AI models, AI course, data science, AI optimization, AI integration

Watch on Pluralsight Introduction In today’s world, customer support needs to be fast and accurate.

Enhance Business Efficiency with Retrieval-Augmented Generation (RAG)

August 6, 2024
Posted by Luca Berton
AI, MachineLearning, RAG, RetrievalAugmentedGeneration, DataScience, CustomerSupport, ArtificialIntelligence, TechExplained, FutureOfAI, AIInnovation, GenerativeAI, DeepLearning, AITrends, NLP, GPT4, BERT, InformationRetrieval, ContextualAI, DataRetrieval, AIforBusiness

Introduction In the ever-evolving landscape of artificial intelligence (AI), finding the right information quickly and accurately is crucial.

Understanding Tokens: The Key to Smarter AI Models

August 5, 2024
Posted by Luca Berton
AI, tokens, artificial intelligence, machine learning, AI models, data processing, smart AI, deep learning, technology, tech explained, natural language processing, NLP, context window, AI performance, computational linguistics, AI education, AI tutorial, digital transformation, innovation, tech trends

Introduction In the world of artificial intelligence (AI), tokens are often discussed but not always fully understood by those outside the technical community.