How to Develop and Teach an Online LLM CourseBerkeley Electronic Press Selected WorksKathryn Kennedy
We then used the vLLM inference engine to build a BentoML service and deployed it on BentoCloud with a few simple steps. Consider taking the Associate AI Engineer for Developers career track to learn how to integrate AI into software applications using APIs and open-source libraries. Develop ...
datasets: Python library to get access to datasets available on Hugging Face Hub ragas: Python library for the RAGAS framework langchain: Python library to develop LLM applications using LangChain langchain-mongodb: Python package to use MongoDB Atlas as a vector store with LangChain langchain-...
Develop prompts that consistently deliver reliable results, using frameworks like the 5Ws and H to maintain clarity. Organize prompts for quick access: Categorize prompts by task type (e.g., content creation, technical SEO, competitive analysis). Store, tag, and retrieve prompts using tools like...
Understanding LLM inference is essential for deploying AI models effectively. Refining GPU memory usage is key to efficient LLM deployment. Balancing between large-scale and small-scale models can refine AI applications. Using parallelism and microservices enhances model performance at large scale. AI tr...
Hallucinations in large language models help develop unique immersive experiences and construct virtual worlds. Game developers and VR designers can design new domains that take user experiences to the next level. It also adds an element of surprise and wonder to gaming adventures. ...
Intelligence Group, a firm in the Netherlands, has been specializing in labor market research for more than 15 years. They decided to launch their own recruitment app product. Together we managed to develop a recruitment app RecruitEverywhere. It is an automated recruiting platform that allows hiri...
To develop your Content Knowledge Graph, you can create your Schema Markup to represent your content. One of the new ways SEOs can achieve this is to use the LLM to generate Schema Markup for a page. This sounds great in theory however, there are several risks and challenges associated wit...
How a web application and an LLM server can interact One of the inherent challenges with machine learning projects is the long development cycle. When you’re looking to add LLM capabilities to an existing product, it’s crucial to minimize the time it takes to develop and deploy the model....
Running Local language models on your machine is fun and educational. Not only do you not have to pay monthly fees for a service, but you can also experiment, learn, and develop your own AI systems on your desktop. It’s a lot of fun. ...