Chen Yeshai Goodman’s Post

🌟 New Milestone Achieved: Enhancing YOLOv8 with TFLite Model Inference! 🌟 Excited to share my first Pull Request to the YOLOv8 (Ultralytics) repository, introducing a game-changing enhancement for TFLite model inference tailored for embedded systems in AI and computer vision. This contribution aims to address and solve community issues related to TFLite deployments, enhancing the flexibility and efficiency of YOLOv8 applications on the edge. Let's connect or start a conversation below to discuss the potential of this technology. #OpenSource #YOLOv8 #TFLite #MachineLearning #ComputerVision #EdgeComputing #AI #Microcontrollers #Innovation #objectdetection Check out the repository for more information. https://lnkd.in/dTsUFsV2

👇 We are so proud to introduce our latest model family called SLIMs (Structured Language Instruction Models) in Hugging Face - small (1B parameter), function-calling, specialized models designed for natural language classification functions, and trained to produce programmatic outputs like Python dictionaries, JSON and SQL, rather than conventional text outputs. 💥 There are 10 SLIM models that are designed to be used stacked together or mixed and matched with larger LLMs: Sentiment, NER (Named Entity Recognition), Topic, Ratings, Emotions, Entities, SQL, Category, NLI (Natural Language Inference), and Intent. These models will unlock LLM use cases in enterprise workflow automation. Check them out in this great introduction by Sonu Kumar!  

Watch Part 3 of 7: Navigating the GPU Landscape: Availability & Impact https://lnkd.in/gviFPPaS Join Liqid CEO and Co-founder, Sumit Puri, and Dell Technologies Chief Technology Strategist, Allen Clingerman, as they continue their discussion on the AI landscape with Liqid and Dell Technologies in Part 3 of this 7 Part series. Register for their exclusive webinar, "Meeting the GPU Demand for AI with Dell Technologies and Liqid," scheduled for January 31st at 11 am MST: https://bit.ly/426BvWp #liqid #dell #ai #composability #cdi #gpu

And Namee and team at AI Bloks / LLMWare did it again... Their newest innovation in the space of #llms is making waves! They've introduced the 𝐒𝐋𝐈𝐌 𝐌𝐨𝐝𝐞𝐥𝐬, meticulously fine-tuned for function calling. And guess what? Both the base model and the GGUF model are engineered to run seamlessly on CPU. 💻 ✅ Why are these models a game-changer? The SLIM models are critical for #ai Agents and function calling because they offer structured outputs essential for complex, multi-step LLM-based automation workflows. This breakthrough ensures AI agents can perform more efficiently and effectively, even on CPU-based systems, making advanced AI capabilities more accessible and scalable. 🌟 To showcase this revolutionary technology, I've created a Streamlit app that vividly demonstrates the capabilities of the models on CPU. This hands-on example brings to life the power of SLIM models, offering a glimpse into the future of AI-driven applications and services. ✨ The results? Impressive! The app not only showcases the robustness and efficiency of these models but also highlights their potential to revolutionize AI agents and function-calling tasks. The future looks promising, indeed, as we continue to push the boundaries of what's possible in #genai. 🔥 Dive into the world of SLIM models and see how they're setting new standards in the realm of LLMs. Watch my video here: https://lnkd.in/gADKTJvZ #openai #functioncalling #llmware #linkedin #aianytime #opensource #opensourceai

My series of Ai creation has bought me to data centre den that the Lionx protects. Hundreds of thousands of GPUs help Ai tools computate multiple Ai applications to generate fast data across networks to make designing, writing and deploying information to build scalability, efficiency for you and others. #Lionx https://lionx.ai

My new AI board for computer vision (google coral dev board) embeded system with a tensor processing unit

Cost and availability of GPU resources are a crucial aspect to consider when embarking on an AI infrastructure journey. In part 3 of the series, Sumit Puri and Allen Clingerman delve into this topic, providing valuable insights and knowledge. The chat is concise, clocking in at just 2 minutes and 24 seconds. Check it out now to learn more about this critical aspect of AI infrastructure. #AIInfrastructure #GPUs #Cost #Availability #delltechnologies #AI #ml #hpc

Enroll now to participate in this insightful discussion with Liqid's CEO and discover how Liqid and Dell are addressing the demand for cutting-edge AI solutions. Gain valuable insights from Liqid and Dell on navigating your AI journey. #delltechnologies Dell Technologies #dell #ai #aiadoption

#Topics Stability AI goes ‘smol’ with StableLM Zephyr 3B [ad_1] Stability AI debuts StableLM Zephyr 3B, a 3B parameter LLM that is smaller and faster than its earlier 7B models, optimized for Q&A and instruction following with a lower resource footprint.Read More [ad_2] #smol #Stability #StableLM #Zephyr

Will be an insightful discussion about AI and how to navigate. You don’t want to miss this!