Retrieval-Augmented Generation, a fascinating process, involves several key steps: - Creating external data - Retrieving relevant information - Augmenting the LLM prompt - Updating external data This method showcases the intricate interplay between data retrieval and generation, highlighting the importance of external sources in enhancing the output. #DataGeneration #Innovation #RAG #GenAI #AI #LLM
How Retrieval-Augmented Generation Works: A Step-by-Step Guide
More Relevant Posts
-
Pre-trained AI models are great at covering the basics, but they often fall short when precision, reliability, and context really matter. That’s where fine-tuning changes the game. Read our latest blog to learn how fine-tuning sharpens model behavior, making outputs more accurate, consistent, and aligned with real-world tasks. From reducing randomness to ensuring domain relevance, fine-tuning ensures your #AI delivers value where it counts. Read the blog NOW: https://hubs.la/Q03GmRq20 #data #artificialintelligence #dataannotation #machinelearning #database #innovation #technology #aiservices
To view or add a comment, sign in
-
-
ICYMI: Progress is helping businesses unlock the full power of generative AI. Progress Agentic RAG capabilities help teams search unstructured data with no-code tools, get results in multiple languages and trace every answer back to the source. This builds trust and speeds decisions. 🔗 Get the full story → https://prgress.co/46gclHs #AI #GenAI #DigitalTransformation #B2BTech
To view or add a comment, sign in
-
-
🚀Most AI models are incomplete, trained on snippets and summaries that miss the crucial "how." But what if your AI could know the full story? Models trained on full-text, expert-authored content deliver undeniable advantages: fewer factual errors, superior performance, and higher user trust. This is the power of a new approach: Model Context Protocol (MCP), which provides real-time access to authoritative sources. The architecture you choose today determines if you're building a simple tool or a trusted system. 📖 Read the full article - Building AI with Trust: The Expert Knowledge Advantage https://ow.ly/aFAc50WVyBc #AI #MachineLearning #TechStrategy #DataScience
To view or add a comment, sign in
-
-
#AI boosts data use, but humans provide essential judgment, creativity, and ethical oversight. The best approach combines 🤖 AI's speed with human #intelligence 🧠. tinyurl.com/2s34e44x #ArtificialIntelligence #DataAnalytics #DataManagement #BusinessIntelligence #MachineLearning #DigitalTransformation #DataStrategy #DataScience #AIinBusiness
To view or add a comment, sign in
-
-
What is the Model Context Protocol (MCP)? A new standard for smarter, context-aware AI is here. We break down what it is and why it's a game-changer for data integrity. Learn more: https://okt.to/CBLxMe #AI #DataIntegrity
To view or add a comment, sign in
-
Ever stopped to consider the implications of free AI tools? It's a landscape where data input contributes to a collective intelligence, potentially accessible to others. The discussion highlights the expanding role of AI and the growth of professional services. One notable point: professional services have emerged as the top vendor, signaling a shift towards expertise-driven solutions. What strategies are most effective for navigating this evolving intersection of AI and professional services? Curious to hear your insights. #AI #ArtificialIntelligence #ProfessionalServices #DataPrivacy #Innovation #FutureofWork
To view or add a comment, sign in
-
Where Does AI Meet Statistical Significance? The more advanced our tools become, the more important it is to stay anchored in what we can trust. We just launched an updated scoring framework at Veritonic — one that blends the speed and scale of modern AI and machine learning with the rigor of traditional statistical significance. ⚖️ It’s a balance we think about constantly. 🔍 If we lean too far toward innovation, we risk speed without certainty. 🔎 If we lean too far toward tradition, we risk certainty without progress. The future of measurement lives in the space between — where new technology amplifies what we know, not replaces it. That balance is where clarity lives. And that’s where we’re building. 📈 What do you think — where should the line be drawn between innovation and rigor? #AI #MachineLearning #StatisticalSignificance #Innovation #DataDriven #MarketingAnalytics #Measurement #CreativeIntelligence
To view or add a comment, sign in
-
-
🚀Most AI models are incomplete, trained on snippets and summaries that miss the crucial "how." But what if your AI could know the full story? Models trained on full-text, expert-authored content deliver undeniable advantages: fewer factual errors, superior performance, and higher user trust. This is the power of a new approach: Model Context Protocol (MCP), which provides real-time access to authoritative sources. The architecture you choose today determines if you're building a simple tool or a trusted system. 📖 Read the full article - Building AI with Trust: The Expert Knowledge Advantage https://ow.ly/CiMk50WXkWX #AI #MachineLearning #TechStrategy #DataScience
To view or add a comment, sign in
-
-
What is the Model Context Protocol (MCP)? A new standard for smarter, context-aware AI is here. We break down what it is and why it's a game-changer for data integrity. Learn more: https://okt.to/U8ywCP #AI #DataIntegrity
To view or add a comment, sign in
-
What is the Model Context Protocol (MCP)? A new standard for smarter, context-aware AI is here. We break down what it is and why it's a game-changer for data integrity. Learn more: https://okt.to/N1W0Qt #AI #DataIntegrity
To view or add a comment, sign in
Software Engineer at Acquia
2wGood one 👍🏻