This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Future AGIs proprietary technology includes advanced evaluation systems for text and images, agent optimizers, and auto-annotation tools that cut AIdevelopment time by up to 95%. Enterprises can complete evaluations in minutes, enabling AI systems to be optimized for production with minimal manual effort.
Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and MLEngineers seeking to build cutting-edge autonomous systems.
Metaflow overview Metaflow was originally developed at Netflix to enable data scientists and MLengineers to build ML/AI systems quickly and deploy them on production-grade infrastructure. How Metaflow integrates with Trainium From a Metaflow developer perspective, using Trainium is similar to other accelerators.
Why is it worth subscribing to this AI newsletter? Superhuman AI Frequency : Daily Best for: AI enthusiasts, entrepreneurs, and those interested in AI’s societal impact Content: AI advancements with a spotlight on cutting-edge technologies Do you want to explore the most exciting aspects of AI?
As an AI practitioner, how do you feel about the recent AIdevelopments? Besides your excitement for its new power, have you wondered how you can hold your position in the rapidly moving AI stream? The authors proposed strategies for how to do research with limited resources. Is this the future of the MLengineer?
These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices.
The SK extensible programming model combines natural language semantic functions , traditional code native functions , and embeddings-based memory unlocking new potential and adding value to applications with AI.
They use fully managed services such as Amazon SageMaker AI to build, train and deploy generative AI models. Oftentimes, they also want to integrate their choice of purpose-built AIdevelopment tools to build their models on SageMaker AI. This increases the time it takes for customers to go from data to insights.
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content