👀 Meta #Llama3 #TensorRT LLM multilanguage checklist ➡️ https://nvda.ws/3LhgSzu ✅ LoRA tuned adaptors ✅ Multilingual ✅ NIM
An interesting example of applying multiple components of the SW Stack to address multilingual deployment. Try out the tutorial!
Johan Hansson maybe something for you to test!
Sr Data Scientist, ML Engineer, Gen AI, Google Developer Expert in AI/ML and Google Cloud
Recently I tested Gemini-1.5-Flash in some tasks and the results are very good. This Google model offers the following advantages: ☑ It is inexpensive ☑ It is very very fast (inference time) ☑ Allows a long context window (1M) ☑ Has multimodal reasoning (splendid results in text, audio, video, PDF, images, tables) Here I present some technical aspects of the model, as well as some cool multimodal examples. 🚀 🚀🚀🚀
The evolution of genAI is about to take another significant step forward with the imminent arrival of "multimodal" apps. In this new format, users will be able to have text generation apps (eg chatGPT) combine with image (and probably video) generation apps (eg Midjourney). What would this look like? - check out the link below. This is coming to chatGPT-plus and enterprise users via an API in October - https://lnkd.in/gvz65Gzf Use cases? - think creating a new brand logo, or a graphic ad with text for a marketing campaign. Think writing an illustrated short story or creating a short film. Think using it for a presentation, or a training session. And now queue an increased level of copyright infringement discussions and IP ownership questions! #genAI
Full Stack Developer at AppStoneLab Technologies LLP | Building Innovative Web Solutions
VideoLLaMA 2 is a set of open-source Video-LLMs for video generation. VideoLLaMA 2, a logical evolution of past models, includes a specialized space-time convolution (STC) component that effectively captures complex dynamics in video. 🖥 GitHub : https://lnkd.in/d9Fx7vC2 🤗 Demo : https://lnkd.in/dz6mjg23 🤗 VideoLLaMA 2 model : https://lnkd.in/d7Nb6PSQ #machinelearning #videogeneration #opensource #artificialIntelligence #deeplearning #computervision #videollms #spacetimeconvolution #airesearch #techInnovation #gitHub #huggingface #videollama2
Leveraging techniques like Sliding Window, often explored outside traditional curricula through platforms like LeetCode, underscores the potential of autodidactic learning in AI. This approach not only demonstrates the practical application of seemingly niche algorithms to real-world problems but also highlights the gap in university education regarding current technological needs. It's a compelling reminder of the value of self-learning in staying abreast of evolving AI applications.
computer vision engineer and Deep learning Expert &python developer& Open CV & Data scientist & "databricks Sql, python & NLP and Generative AI & working on power BI "Tableau" & software developer
Lane Detection using OpenCV Advanced lane detection using sliding window approach LinkedIn Fiverr Upwork RemoteIT Professionals YOLOvX CEO Famers Meta Facebook 923125094307 [email protected]
Have you tried Google's Gemini 1.5 yet? It can be prompted with text, image, files, audio, and even video data. Here is my experience with Gemini 1.5. Click the fullscreen button on the video for a better and clearer view. How easy did you find it to use the image prompting feature? #gemini1.5 #googleai #deepmind #multimodalmodels #genai #aiimage #aiprompt #imageprompt
AI Strategist & Developer | Digital Forensics (EnCE, CEH) | IT Consultant | Digital Marketing & Web Innovation | Tap2Space Founder | Professional Photographer | Inventor
🔍 Safari 18 update introducing AI-driven features that promise a smarter, more intuitive way to navigate. https://wix.to/6exFdy4 #AppleAI #SmartSafari #TechUpgrade #DigitalInnovation #AIRevolution #FutureOfBrowsing
Absolutely thrilled to share the latest from Project Copilot! 🚀 We're navigating through exciting times, constantly pushing the envelope in AI innovation. Our journey is fueled by the challenges we face and the breakthroughs we achieve. 🌟 In this update, we delve into the recent hurdles we've overcome, the strategic solutions we've implemented, and the visionary path we've charted for the future. Our commitment is unwavering: to deliver unparalleled AI solutions while fostering a vibrant, interactive community. 💡 Your insights and feedback are the lifeblood of our progress. They inspire us to redefine the possibilities of AI technology. Let's continue this journey together, shaping a future where AI not only supports but enhances every facet of business analytics and decision-making. 🌐 Join us, contribute, and let's co-pilot towards a future brimming with potential. Check out our roadmap and join the conversation in our Discord community. Your voice matters in this collaborative endeavor to revolutionize the AI landscape. 🌱 #ProjectCopilot #AIInnovation #FutureOfWork #CommunityPower
🔹 Exciting Journey and Forward Path with Project Copilot 🔹 As we continue to innovate and push the boundaries of AI technology, our journey at Project Copilot has been both challenging and exhilarating. Today, I'm thrilled to share a brief summary of our recent issues, our responses to them, and a glimpse into our future through our comprehensive roadmap. Our commitment to transparency, improvement, and community engagement remains stronger than ever. Recent Challenges and Solutions: In our quest to deliver cutting-edge AI solutions, we've encountered a series of challenges. From enhancing the intuitiveness of our AI agents to ensuring the robustness of our on-premise version for local data processing, each issue has been met with a dedicated response from our team. We've optimized our algorithms, fortified our data security measures, and expanded our support to ensure a seamless user experience. Looking Ahead - Our Roadmap: We are excited about the future and are committed to continuous innovation. Our roadmap outlines the introduction of AI agents capable of acting as autonomous business analysts, requiring zero prompt writing from you. Additionally, the launch of our on-premise version will empower users to leverage our AI solutions securely within their own IT ecosystems. Join Our Community: To foster a collaborative environment and provide direct channels for feedback and support, we invite you to join our Discord community. Here, you can engage with our team, share your insights, and stay updated on our progress: Support App Channel: A dedicated space for troubleshooting and tips on getting the most out of our application. Support Assistant Channel: Your go-to for assistance with navigating our platform and services. Support Agent Channel: Direct access to our support team for immediate help with specific issues. Roadmap Discussions: Dive into discussions about our future plans and share your thoughts on what you'd like to see next. For a detailed view of our roadmap and to join our Discord channels, please visit the channel with our roadmap: https://lnkd.in/dZJGiG9C and our community in discord: https://lnkd.in/dfnqPQJa We are immensely grateful for the support and feedback from our users and partners. Your insights are invaluable as we continue to evolve and adapt our offerings to meet your needs. Together, we are shaping the future of AI in the business world. #projectcopilot #AIInnovation #CommunityEngagement #RoadmapUpdate #FutureOfWork
I protect, strategize scale innovation. | AI/ML x EE technical expertise
2wmultilingual NIM! nice integration for sure