Have you ever wished you could build smart AI agents without shipping your data to third-party servers? What if I told you you can run powerful language models like Llama3 directly on your machine while building sophisticated AI agent systems? Let’s roll up our sleeves and create a self-contained AI development environment using Ollama and […]

In the rapidly evolving landscape of AI development, Ollama has emerged as a game-changing tool for running Large Language Models locally. With over 43,000+ GitHub stars and 2000+ forks, Ollama has become the go-to solution for developers seeking to integrate LLMs into their local development workflow. The Rise of Ollama: By the Numbers – 43k+ […]

Retrieval Augmented Generation also known as (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. In the the rapidly evolving landscape of AI and natural language processing (NLP), RAG Techniques have emerged as a […]

Microsoft Research and Stanford University have unveiled Trace, a novel Python framework designed to revolutionize AI system optimization. This new tool focuses on automating the design and updating of AI workflows, such as coding assistants and chatbots, by treating them as computational graphs. The OptoPrime algorithm is tailored for solving the OPTO problem, utilizing the […]

Llama 3.1 is out! 23rd of July, facebook announced the next iteration of the Llama family to Hugging Face. It’s exciting for hugging face to collaborate with Meta to ensure the best integration in the Hugging Face ecosystem. Eight open-weight models (3 base models and 5 fine-tuned ones) are available on the Hub. In this […]

Unlock the full potential of your coding skills with the power of AI! Dive into the future by incorporating Artificial Intelligence into your workflow with Chat GPT, Google Bard, AWS Code Whisperer, Google Duet AI, GitHub Copilot, and others.

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Build Glamorous Terminal-Based Applications with Charm Huh: https://youtu.be/Vw1r2uoU_Fc

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In the dynamic world of cloud-native applications, Kubernetes reigns supreme as the orchestrator of containerized microservices. However, mastering the order of deployment of Kubernetes resources and dependencies can be a daunting task, especially since many of us are trying to apply the logic and the processes we had in the past. Let’s try to demystify that with examples that contain applications, databases, database schemas and users, namespaces, and a few other typically managed resources.

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Discover the intersection of Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI). Learn how GenAI leverages the strengths of its predecessors to create new and innovative content. Join our Slack Community.

Join Our Slack Community Kubernetes is a platform that enables you to automate the process of deploying, scaling, and managing applications that are contained within containers. It operates on the idea of clusters, which consist of nodes (either virtual machines or physical machines) for running your applications and services. Additionally, Kubernetes offers functionalities like service […]

Learn how to harness the power of AI, ChatGPT, and Kubernetes to earn billions in this eye-opening YouTube video. Discover the secrets of using these cutting-edge technologies to build a profitable business empire and achieve unprecedented success. Don’t miss out on this game-changing information!

That’s probably the description one would put in an attempt to sell you something based on hype. I’m just riding the wave.

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Machine learning platforms are the backbone of the modern data-driven enterprises. They help organizations to streamline their data science workflows and manage their machine learning models in a centralized manner. In this blog post, we will discuss how to build a multi-tenant machine learning platform on Kubernetes, a popular container orchestration platform. Why Build a […]