Global AI Summit’s Post

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Part of my collaboration with Cohere For AI in enhancing the quality of the Arabic Language for AI purposes.

🎉 Exciting news! Arcee Spark has just hit #1 on the Open Arabic LLM Leaderboard for 7 Billion parameter models! 🏆 We're not stopping here—this is just the beginning as we aim to break language barriers and go beyond English in AI. 🚀 Thanks to our amazing team at Arcee.ai. Stay tuned for more! #AI #MachineLearning #LLMs #ArabicLLM #ArceeGlobe

Large Language Models (LLMs) have demonstrated potential inVision-and-Language Navigation (VLN) tasks, yet current applications facechallenges. While LLMs excel in general conversation scenarios, they strugglewith specialized navigation tasks, yielding suboptimal performance compared tospecialized VLN models. We introduce FLAME (FLAMingo-Architected EmbodiedAgent), a novel Multimodal LLM-based agent and architecture designed for urbanVLN tasks that efficiently handles multiple observations. Our approachimplements a three-phase tuning technique for effective adaptation tonavigation tasks, including single perception tuning for street viewdescription, multiple perception tuning for trajectory summarization, andend-to-end training on VLN datasets. The augmented datasets are synthesizedautomatically. Experimental results demonstrate FLAME's superiority overexisting methods, surpassing state-of-the-art methods by a 7.3% increase intask completion rate on Touchdown dataset. This work showcases the potential ofMultimodal LLMs (MLLMs) in complex navigation tasks, representing anadvancement towards practical applications of MLLMs in embodied AI. Projectpage: https://lnkd.in/gWfN8V2r #LanguageModels #Navigation #AI #Multimodal #EmbodiedAI

The results are in 😀 Our llm, NorskGPT ranks as the second best AI model for Norwegian language. When measured against a range of Scandinavian languages (Swedish, Danish, Norwegian) it came in again on the second best spot (after GPT 3.5 - turbo by OpenAI ) 🥳 The evaluation was done by ScandEval benchmarking by Dan Saattrup Nielsen. Results can be accessed here: https://lnkd.in/d4yrx2Pu Download the model for free from Hugging Face: https://lnkd.in/dpkzCM3g Tagging relevant companies: AI Sweden, NORA – The Norwegian Artificial Intelligence Research Consortium, Norges forskningsråd, Innovation Norway, Nordic Innovation, AI at Meta #llm #mistral7b #norge #norway #sweden #denmark #artificialintelligence #ai #llama2

All in Simple words [2] Six Foundational Capabilities of AI Systems Ability to understand Natural Language spoken or written by humans Ability to store and process information Ability to Reason Ability Learn from New Information Ability to see and perceive surrounding objects Ability to Manipulate and move the physical Objects 

🎉 Why did the AI agent apply at the call center? It wanted to test its skills in real-time processing and natural language understanding! 😂 Now that I've piqued your curiosity... Check out below latest demo (pls make sure your volume is up!) to see how #AzureAI is revolutionizing AI Agents with precise and efficient two way communication enhancements. #AutoGen STT ->LLM ->TTS 📩 DM for details on building your own! 🔍 Disclaimer: This demo is built on the powerful OpenAI GPT-4 Turbo Model using Voice orchestrator platform. Holger Bruchelt Pankaj Meshram ChanJin Park Sanjeev Kumar Trond Stroemme Troy Shane Satish Thirunethiram Peter Westenbroek Gopal Nair Sanjay Satheesh Nathan Weaver Jack Rowbotham Himanshu Rao Jennifer A. M. Hajduk #AzureML #Gamechanger #DigitalMarketing #Creativity #SAPonAzure

I've been diving deep into the world of **Speech-to-Text (STT)**, researching the best open-source models and affordable commercial STT APIs. During my search, I came across a comprehensive blog post by Gladia that offers an excellent overview of **Automatic Speech Recognition (ASR)** technology. It’s a great resource for anyone looking to explore the potential of STT. If you're interested in learning more, check out the blog post here: [Introduction to Speech-to-Text AI](https://lnkd.in/dESmXXdr) #AI #SpeechToText #ASR #MachineLearning #OpenSource #TechInnovation #ArtificialIntelligence #Gladia

📈 LoRA and QLoRA: Driving Innovations in Language Models LoRA and QLoRA are at the forefront of innovation in the world of large language models (LLMs). These techniques are redefining how we approach fine-tuning, offering new pathways for efficiency and scalability. LoRA: Reduces parameter count, making fine-tuning accessible and cost-effective. QLoRA: Combines quantization with low-rank adaptation, ensuring high performance with lower resource usage. The integration of these methods is crucial for the future of AI, enabling the development of smarter, faster, and more efficient language models. Join the conversation and explore how these advancements can benefit your projects! 🤖 #ArtificialIntelligence #LoRA #QLoRA #MachineLearning #TechInnovation #LLM

Excited to head to Albuquerque, NM, for the TAUS Massively Multilingual AI Conference from October 2-4, 2024! I’m looking forward to exploring the latest in multilingual AI so I can bring fresh insights and new solutions back to our clients at Kobalt. If you're attending too, I'd love to connect, share ideas, and learn how others are applying AI in the language industry. Drop a comment if you're attending! #TAUSABQ2024 #MultilingualAI #LanguageTechnology