Neha Goel’s Post

Unleash the Power of #LargeLanguageModels! 🚀 Text and images are just the beginning. Dive into the future by creating videos and groundbreaking solutions! 👁️🎥 Check out this mind-blowing article from Outerbounds for an example that will fuel your creative fire! 🔥✨ #InnovationUnleashed https://lnkd.in/dASKNDJc #generatieveai #llm #largelanguagemodels #generativevideo #gpu #metaflow #genai #ai #googlecloud #aws #azure #gcpcloud #mlops #llmops #ScalingGenAI #stablediffusion #stablevideodiffusion

If you are building agents, you might have experience that they are not always great in choosing right tools. And, at some point, crafting the prompt for tool calling can be like searching for a needle in a haystack itself 😅 📍 The good news is that Vertex AI Prompt Optimizer support tool-calling prompt optimization! 📚 And you can find more about how to use it in my latest article on Medium (notebook included 🤓 )! 🔗 Here the link: https://lnkd.in/dD5tVQJ6 Happy reading! And stay tuned. More is coming with Vertex AI Prompt Optimizer... 😉 #AI #ML #Cloud #PromptEngineering #VertexAI #GoogleCloud #PromptOptimizer #ToolCalling #Optimization

Snowflake has unveiled its large language model (#LLM) called Snowflake Arctic tailored for enterprise use. This open #AI model, described as "enterprise-grade," is designed to handle complex enterprise tasks and has outperformed industry benchmarks in areas like SQL code generation and instruction following. #SnowflakeArctic will be provided with an Apache 2.0 license, enabling unrestricted personal, research, and commercial usage. Available for immediate use, Arctic can be utilized for serverless inference within Snowflake Cortex, a managed service offering machine learning and AI solutions in the Data Cloud. Additionally, the model will be accessible on various platforms such as Amazon Web Services (AWS), Microsoft Azure, NVIDIA API catalog, and more. Snowflake is also offering code templates and flexible training options to facilitate the customization of Arctic using preferred frameworks. Alongside Arctic LLM, Snowflake introduces Arctic #embed, a series of text embedding models, to its lineup. Follow Amanda Newman to stay up to date with technology. https://lnkd.in/dM-F5cFy

Thinking about how you're going to use AI in your business? Jump into this hands-on workshop TODAY to experience #RedHat #OpenShiftAI and #Azure #OpenAI on Azure Red Hat #OpenShift. It's a great way to get familiarity with evaluating, tuning, training and integrating models into a GitOps deployed application. The 2 min blog linked below gives you more info on exactly what you'll learn and has a link to our upcoming virtual sessions...one being TODAY. See you there!

There has been increasing interest in using foundation models to build generative AI applications. These models can perform human-like tasks but raise concerns about bias, safety, and alignment with human values. #aws #awscloud #cloud #advanced300 #amazonaurora #amazonrds #bestpractices #generativeai #postgresqlcompatible #rdsforpostgresql #technicalhowto

Imagine the impact of deploying cutting-edge generative AI models like Snowflake's Arctic LLM and Databricks' DBRX in your enterprise. However, without the support of a Microsoft Cloud Solution Provider (CSP), organizations may grapple with the complexities of training such models, including significant costs and resource requirements. How might partnering with an MS CSP empower your organization to efficiently leverage state-of-the-art generative AI models, thus driving innovation and competitiveness in your industry? If you're intrigued by the potential but concerned about the hurdles, let's discuss how our MS CSP can help you navigate the path to unlocking the transformative power of AI in your enterprise.

Curious about how vector databases are transforming AI-driven apps? 🤔 By using embeddings, vector #dbs enable retrieval-augmented generation (#rag) to access and organize vast data more efficiently. This blend of natural language understanding with rapid retrieval is opening doors for smarter search and recommendations, driving innovation across industries. 🚀 If you plan to pursue #AI apps at scale, you will likely need to adjust your data architecture to support the demands of #LLMs. Here are some of the best options: - Pinecone Optimized for real-time similarity search. Pinecone is scalable, fast, and integrates easily with machine learning models to handle high-dimensional vector data. Available in #AWS Cloud/Marketplace - https://lnkd.in/eJksizJM - Qdrant Designed for efficient similarity search with filtering, making it highly effective in RAG pipelines. Qdrant supports distributed search across clusters, which is crucial for large-scale data. Redis and ElasticSearch also have vector support but can be costly to scale (memory/performamce). #AI #DataScience #RAG #CTO

For those just starting to explore Kernel Memory, here's an excellent article https://lnkd.in/ea-PWbmA It details the process of building RAG experiences and integrating Kernel Memory with Azure Open AI services using ASP.NET application. #AI #Azure #KernelMemory

Azure Open Al's GPT-4 Turbo with Vision (GPT-4V) is revolutionizing how businesses utilize video data. This powerful Al tool, built on Azure's robust cloud platform, offers scalable video analysis with enterprise-level security. Whether it's streamlining quality control in manufacturing with precise defect detection, accessing damage of products in transit, detecting a specific image in a video, or summarizing videos, GPT-4V provides a swift and accurate analysis, saving valuable time and resources. #azure #azurecloud #artificialintelliegence #ai #generatieveai #openai #cosmosdb #blob https://lnkd.in/dBpYVACn

As AI increases data complexity and volume, open source solutions like OpenTelemetry and new approaches to managing costs are driving change. By Krishna Yadappanavar of Kloudfuse, thanks to Cloud Native Computing Foundation (CNCF) | #KubeCon #Observability #LLM #GenAI