MyScale

How to use #SQL more conveniently in @MyScaleDB? 🤩You definitely can't miss the SQL Workspace! You can edit, run, and save SQL worksheets, as well as view query results for enhanced productivity! 💪 📑See the full guide: https://lnkd.in/gnN-fhqn

👀Discover how to leverage the power of OpenAI's CLIP model for zero-shot classification. 📑Our guide takes you through the process, from setting up the libraries to evaluating the results. 😉Give it a read and let me know what you think! https://lnkd.in/gGdqQEY5

#Goodread 💫Witness the pinnacle of open-source AI capabilities! 🔥 DeepSeek-V3 sets a new standard and it’s a true marvel of engineering! Wanna build anything with DeepSeek V3? David Ondrej shows you how👇 https://lnkd.in/gSNWCqAj #opensource #AI #LLM

💡The most unique feature of the MyScale is supporting SQL and vector joint queries. ❓What is it? Why is it important? How to perform it? 🧐Find the answer in our doc: https://lnkd.in/gwQPsNVK #vectordatabase #SQL #vectorsearch #LLM

🔍 B-Tree vs. Hash vs. Graph vs. HNSW...which one should you use? 📑This guide dives into how each method works and the specific scenarios where they shine—whether it’s fast-range queries, exact match lookups, or nearest-neighbor searches. Discover which indexing strategy is right for your data needs!👇 https://lnkd.in/dtYFeedw #DataScience #DataManagement #AI

I am not sure if you have already seen discussions about these #AgenticAI, the new way to think about how #ArtificialIntelligence could really step up from generating content (see #GenerativeAI) to a point where such #AI are able to interact with and understand context to have #decisionMaking capabilities. I believe we should definitely slow down this endless run to the automation and be focused more on an horizontal development by promoting the #ethics and #ethical principles we rarely hear about. ⚖️ if you are new about these agents and you what to know more, while I was browsing Medium I've found "Agentic AI vs Generative AI: Understanding the Key Differences and Impacts" by MyScale, an article where you can have almost a side by side comparison between AgenticAI and GenerativeAI: 🗣"Agentic AI refers to AI systems that can make decisions and take actions autonomously to accomplish specific goals. Instead of simply generating content, these AI models can interact with their surroundings, respond to changes, and complete tasks with minimal human guidance." 🌐 Source: https://lnkd.in/dnp6cE8p There are key differences between agentic AI and what we seen so far: 🤖 ➡️ #Make decisions: They can analyze situations, weigh options, and determine appropriate actions based on context and objectives; ➡️ #Plan actions: The have the ability to break down complex tasks into smaller, manageable steps, demonstrating goal-oriented behavior; ➡️ #Learn from experience: They might adapt and improve through reinforced learning, evolving dynamically by interacting with their environment and receiving feedback; ➡️ #Understand language: They have the ability to comprehend and follow complex instructions in natural language, enhancing human-AI interaction; ➡️ #Optimize workflows: Effectively and efficiently, they can execute and manage multi-step processes, optimizing workflows across applications. Of course there are various typology of such Agents, for exaple: 🤖 #Assist agents: Handle day-to-day tasks with human-AI collaboration, aggregating and delivering information from diverse sources; 🤖 #Compliance agents: Operate within strict compliance frameworks, ensuring actions adhere to rigorous standards; 🤖 #Workflow agents: Generate and execute workflows across applications, autonomously identifying the right APIs and sequences to fulfill user requests. As anticipated, I don't see anything to be happy about with these agentic AIs because I believe we should really care about others: my initial focus was to point out how development seems to ignore critical aspects of a responsible approach. 🧐 It seems trends and marketing want to stress these fields because they unfit other goals... that's my opinion but curious to know yours. #ArtOfThinking #AIEthics #AIGovernance #Ethics #Governance #AI #FutureTech #

🤔From passive to proactive: Agentic AI is reshaping the future of AI. https://lnkd.in/gyx3cAmD 🧐Discover how this groundbreaking framework, with its ability to set goals, make decisions, and adapt to changing environments, differs from the task-oriented nature of Generative AI. Prepare for a new era of intelligent, autonomous systems. #AgenticAI #GenAI

From passive to proactive: Agentic RAG is revolutionizing how AI responds to user queries. https://lnkd.in/g9jEzXQ4 🧐Dive into this innovative framework that combines reasoning, action, and modularity to deliver smarter, more contextual, and dynamically adaptable AI. #AgenticRAG #LLMs #AIEvolution

🤩Embark on a journey to unlock the full potential of Retrieval Augmented Generation (RAG) and stay ahead of the curve. 🤗Join our blog series on Advanced RAG Techniques to explore the cutting-edge of #RAG. 1⃣▶️Let's examine the key differences between Naive RAG and Advanced RAG. While Naive RAG provides a solid foundation, Advanced RAG leverages sophisticated methods to optimize performance, relevance, and personalization. https://lnkd.in/eSzxS5mP 2⃣▶️Query rewriting is a crucial element of Advanced RAG. We'll dive into techniques that transform your queries to enhance retrieval, boost efficiency, and deliver more impactful results. https://lnkd.in/eMq68bCy 3⃣▶️Embedding models are the backbone of Advanced RAG systems. Learn how to leverage the latest advancements in semantic representations to supercharge your RAG workflows. https://lnkd.in/gf7Um-eB 4⃣▶️Chunking strategies play a vital role in Advanced RAG. We uncover best practices for segmenting your data to maximize retrieval, generation, and user experience. https://lnkd.in/gu39vqtU 5⃣▶️Indexing methods are the foundation upon which Advanced RAG is built. Explore the latest indexing innovations, from vector search to MSTG, that power lightning-fast retrieval. https://lnkd.in/gyzzUcKt 6⃣▶️Vector search methods are transforming the landscape of Advanced RAG. Discover how to leverage the power of semantic embeddings and efficient indexing to deliver unparalleled retrieval capabilities. https://lnkd.in/g5nxCtqq 7⃣▶️Reranking is the final piece of the Advanced RAG puzzle. Discover intelligent reranking techniques that refine your results, ensuring the most relevant and personalized information rises to the top. https://lnkd.in/gJxYyQrf 🚀Ready to revolutionize your approach to #RAG? Follow along as we continue pushing the boundaries of what's possible with cutting-edge RAG innovations. The data-driven possibilities are endless! https://lnkd.in/e2wYAKx7

#Goodread 🤖 Supercharge your development with Gemini 2.0 Flash! 💻 Sam Witteveen showcases the model's cutting-edge multimodal features, performance boosts, and new coding agent capabilities. 📽️Don't miss this must-watch update on the Gemini era! https://lnkd.in/gEJrqqsU #Gemini #AIAssistance