Uber Engineering’s Post

LLMOps is the next generation of MLOps for industrial-scale generative AI. LLMs are more complex, data-hungry, generative, and evolving than traditional ML models. #ai #genai #llmops https://lnkd.in/eq_MZBxQ

AI is an API use case, says Marco Palladino, underscoring AI's evolving landscape, mirroring the internet's API-driven growth in this article with The New Stack. #KongPin #TechNews #AI #ArtificialIntelligence #API

Meta is leading the #OpenSource community 🚀 I have a question for you: As a company, and considering the benchmarks of the Llama 3.1 model, to what extent do you think it is worth using the 405B model over the 70B model? I look forward to your thoughts! Aston Zhang said on his Twitter: “We leveraged the 405B model to improve the post-training quality of our 70B and 8B models”. #LLM #Llama3.1 #OpenSource #AI

Curious about how to get the best answers from you Large Language Models (LLMs) or what are optimal prompt engineering practices for LLMs(Claude) in Bedrock? Look no further—I have crafted a comprehensive blog addressing this topic. Understand Prompting Techniques 👉 : https://lnkd.in/dWB2Q-D7 #LanguageModels #Bedrock #AI #EngineeringExcellence #Claude #UnlockingPotential 🚀

FRIDAY Read: the long road to uniform AI testing When it comes to testing the quality and reliability of artificial intelligence apps, and the larger language models that power them, the QA space still has a long way to go. Read here why https://lnkd.in/dmhDW9wM #QA #LLM #AI #AItesting #QAtesting #SoftwareTesting #ArtificialIntelligence #AIapps

Maximize your AI's potential with DIY Observability! 🚀 Learn how to monitor and optimize your Large Language Models (LLMs) with OpenTelemetry. From improving accuracy to managing resources, discover the key metrics for LLM success. Dive into the world of OpenLLMetry for seamless, automated observability. Ready to enhance your AI's performance? Let's get started! 🔍💡 #AI #MachineLearning #OpenTelemetry #LLMObservability #PerformanceOptimization #ResourceManagement #OpenLLMetry #ArtificialIntelligence #Innovation #TechTrends

Testing and quality assurance are two of the most critical areas companies need to invest in when implementing AI.

Monday goals 🏋️♀️🏋️♂️ make your LLM more precise. Learn to fine-tune an AI Model using @MindsDB. https://bit.ly/3vm5GNt #AI #machinelearning

⁉ Ever wondered why working with LLMs can sometimes feel like hitting a wall? The answer might surprise you – and it's closer than you think… 🤓 Turns out, the issue often isn't with the technology itself but how we articulate our requirements, or more precisely, our prompts. As I faced similar issues, I recently conducted a POC on prompt optimization, coming up with a markup-driven approach to enhance interactions with LLMs for greater productivity and more precise results. 🧠 If you want to bring your interactions with LLMs to the next level, might be worth checking out my latest the article here: https://lnkd.in/egWxHBC3 #AI #artificialintelligence #openai #chatgpt #llm #llms #llmops #promptengineering #promptengineer #prompt #technology

What if you want to leverage the power of LLMs without the hefty licensing fees or the restrictions of using a closed model? There are 3 open source options you can try: - Llama (Meta) - Mixtral (Mistral AI) - Smaug (Abacus AI) #AI #generativeai #llms