Bhimraj Yadav’s Post

𝐒𝐦𝐨𝐥 𝐕𝐢𝐬𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐚𝐧𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: In the world of Generative AI, choosing the right model often requires navigating the trade-offs between speed, resource usage, and performance. This visualization of the 𝐒𝐦𝐨𝐥 𝐕𝐢𝐬𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 provides a powerful comparison of models based on RAM usage and win rate across popular benchmarks. 𝐊𝐞𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬: 𝐒𝐦𝐨𝐥𝐕𝐋𝐌 stands out as a highly efficient model, delivering impressive performance with minimal RAM usage—perfect for resource-constrained applications. On the other hand,𝐈𝐝𝐞𝐟𝐢𝐜𝐬𝟑 𝟖𝐁 offers peak performance, making it ideal for scenarios where high-end results justify the resource requirements. Models like 𝐐𝐰𝐞𝐧𝟐-𝐕𝐋 𝟐𝐁 and 𝐈𝐧𝐭𝐞𝐫𝐧𝐕𝐋𝟐 𝟐𝐁 strike a balance between these extremes, catering to more flexible use cases. This comparison highlights how innovation in AI is not just about creating smarter models, but also about making them faster, cheaper, and more accessible. 💡 What’s your go-to model for achieving optimal efficiency and performance? Let’s discuss! #GenerativeAI #ComputerVision #AIModels #Efficiency #DeepLearning

🌟 𝐄𝐯𝐞𝐫 𝐰𝐨𝐧𝐝𝐞𝐫𝐞𝐝 𝐡𝐨𝐰 𝐦𝐨𝐝𝐞𝐥𝐬 𝐥𝐢𝐤𝐞 𝐂𝐡𝐚𝐭𝐆𝐏𝐓, 𝐂𝐥𝐚𝐮𝐝𝐞, 𝐨𝐫 𝐆𝐞𝐦𝐢𝐧𝐢 𝐬𝐞𝐞𝐦 𝐭𝐨 𝐫𝐞𝐚𝐝 𝐲𝐨𝐮𝐫 𝐦𝐢𝐧𝐝? It’s all thanks to transformers and the power of 𝐀𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧—the key to understanding context and delivering spot-on responses. 🌟 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 by Intellias takes this tech to the next level, giving enterprises a powerful digital assistant platform that’s fast, customizable, and smart. 𝐇𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬: 🔹 𝐒𝐦𝐚𝐫𝐭 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠: Words are turned into vectors, making your AI understand with precision. 🤓 🔹 𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 𝐀𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧: Our advanced multi-head attention dives deep into meaning, ensuring contextually relevant responses. 😱 🔹 𝐋𝐚𝐲𝐞𝐫𝐞𝐝 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Multiple neural layers refine understanding, making IntelliAssistant perfect for complex queries. 🤯 🔹 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐏𝐨𝐰𝐞𝐫: IntelliAssistant predicts the best responses, tailored to your business needs. 🤩 Customize your AI’s creativity with adjustable parameters, whether you need innovative solutions or precise, on-point answers. 😎 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭: 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐌𝐞𝐞𝐭𝐬 𝐏𝐨𝐰𝐞𝐫 😎 Harness the evolution of AI with 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭—bringing you the power of trillions of parameters in a tool that feels like a true partner in your enterprise. 𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐭𝐨 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈. 👉 𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐞 𝐥𝐢𝐧𝐤 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞! #IntelliVoice #AI #IntelliAssistant

𝗦𝘂𝗽𝗲𝗿 𝗔𝗴𝗲𝗻𝘁: 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗔𝘂𝘁𝗼𝗴𝗲𝗻 𝘄𝗶𝘁𝗵 𝗩𝗲𝗰𝘁𝗼𝗿𝗗𝗕 Super Agent uses Ollama, LiteLLM (YC W23), #AutoGen, LanceDB, and LangChain to build a smart AI tool. This tool combines data storage and conversation skills to manage information effectively and interact intelligently. Here are the key steps: 1. 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝘁𝗼𝗿𝗲: Use LanceDB to index the PDF and make it searchable. 2. 𝗦𝗲𝘁 𝗨𝗽 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻: Build a Question-Answer system with LangChain for smart, context-aware queries. 3. 𝗔𝘂𝘁𝗼𝗴𝗲𝗻 𝗔𝗴𝗲𝗻𝘁𝘀: Set up user and assistant agents with Autogen for interactive querying. 🔨 Explore Colab - https://lnkd.in/gm9kU3is Checkout other AI Agent examples - https://lnkd.in/gwWwtQVX #aiagent #vectordb #superagent

Soon, manual process documentation won't be the only way for team members keep your organisations unique methods of working up to date. What if your software could automatically remember important information that's mentioned about a customer or escalation? And then automatically recall that memory the next time a similar situation occur. This new demo/article by our AI Engineer 🇺🇦 Denys Lazarenko proposes a high level solution for using LLM's to create a "collective long term memory" out of daily conversation. Check it out.

Learn, adopt and get your work done with Bluescarf.ai Unlocking AI Potential: Fine-Tuning the Llama 2 Model 👨💻 In this step-by-step guide, we (bluescarfian) delve into the fine-tuning process of the Llama 2 Model, showcasing how to enhance performance with cutting-edge techniques. 🔹 Step 1: Set up your environment with essential packages. 🔹 Step 2: Import critical libraries for seamless model training. 🔹 Step 3: Configure model parameters for optimal efficiency with QLoRA and 4-bit quantization. 🔹 Step 4: Load and fine-tune the model, pushing boundaries with advanced training setups. 🔹 Step 5: Save your finely-tuned model for deployment. 🔹 Step 6: Test the model’s prowess with real-world prompts to ensure peak performance. Join us on this journey to elevate your AI models to the next level! #ArtificialIntelligence #generativeai #finetuning

📢 New on our blog: Published by our founding AI engineer 🇺🇦 Denys Lazarenko: "Remember Everything Ever: Collective Long-Term Memory of AI Agents against the Doom of Documentation." In our mission to help businesses adopt ai-driven automation, we're exploring how AI can change the way businesses collect their corporate memory to a knowledge layer that we call "collective memory". Our mission is to help automating the capture and versioning of essential knowledge of the millions of tasks, interactions, emails, teams/slack threads that make up a companies processes. 🔍 Highlights: - Challenges of traditional documentation. - Benefits of AI-enhanced collective memory. - Future prospects for business efficiency. #AI #adaptiveAutomation #collectiveMemory #interloom

The best aspect of my job: I get to work with people much smarter than me., such as our brilliant AI engineer 🇺🇦 Denys Lazarenko. In his new write up, video and demo explains how we can use LLMs to automatically capture the collective memory of organisations (the specific way your organisation get stuff done) instead of hoping someone will remember to perfectly update the your organisation's wiki.

With all the hype around generative AI for industry, there's a new term making waves in the industry: "Industrial Agents." But is this just another buzzword, or a glimpse into the future of data & AI for industry? 👀 In our latest blog, we dive deep into the concept of industrial agents - agile and robust software entities designed to optimize and manage industrial tasks with human-like intelligence. From accelerating root cause analysis to integrating simulation workflows, these agents are set to revolutionize the way we approach industrial challenges. Discover how these advanced AI-driven agents are already making an impact and what it takes to build your own "Jarvis-inspired" operations. 🤖 👉https://hubs.ly/Q02HCyd00 #AI #AtlasAI #Data #IndustrialOperations #GenerativeAI #IndustrialAgents

Transparency was our priority from day one as we are convinced this is the right path to mutual trust, to partnership. Now, as a user of GoodVision Ltd Platform, you can visualise what our AI engine "sees" in your traffic video footage and make a video out of it yourself. #trafficanalytics #diy #AI

𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝘀 𝗔𝗜 – 𝗜𝗙𝗦·𝗮𝗶 𝗶𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗼𝘃𝗲𝗿 𝟮𝟬𝟬 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀. IFS·ai will drive your 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗟𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗮𝗰𝗿𝗼𝘀𝘀 𝘆𝗼𝘂𝗿 𝗲𝗻𝘁𝗶𝗿𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘁𝗼 𝗴𝗿𝗼𝘄𝘁𝗵: Run & Measure – Predict and Prepare. Realize Value. https://ifs.link/jlJGsP IFS·ai is your AI strategy to 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲, 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 & 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲 & 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝘆 & 𝗰𝗼𝗿𝗿𝗲𝗰𝘁 𝗱𝗲𝘃𝗶𝗮𝘁𝗶𝗼𝗻𝘀. Using all 6 AI Classes simultaneously in one single #AI platform, IFS·ai delivers over 200 Use Cases across our core industries. 𝗜𝗙𝗦·𝗮𝗶 𝗶𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗔𝗜: Together building your competitive industrial AI landscape. See IFS·ai in action at IFS Unleashed register here: https://ifs.link/hfUKbL