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It covers how generative AI works, its applications, and its limitations, with hands-on exercises for practical use and effective promptengineering. Introduction to Generative AI This beginner-friendly course provides a solid foundation in generative AI, covering concepts, effective prompting, and major models.
Instead, Vitech opted for Retrieval Augmented Generation (RAG), in which the LLM can use vector embeddings to perform a semantic search and provide a more relevant answer to users when interacting with the chatbot. PromptengineeringPromptengineering is crucial for the knowledge retrieval system.
It covers how generative AI works, its applications, and its limitations, with hands-on exercises for practical use and effective promptengineering. Introduction to Generative AI This beginner-friendly course provides a solid foundation in generative AI, covering concepts, effective prompting, and major models.
PromptEngineering with LLaMA-2 Difficulty Level: Beginner This course covers the promptengineering techniques that enhance the capabilities of large language models (LLMs) like LLaMA-2. This short course also includes guidance on using Google tools to develop your own Generative AI apps.
The principles of CNNs and early vision transformers are still important as a good background for MLengineers, even though they are much less popular nowadays. The book focuses on adapting large language models (LLMs) to specific use cases by leveraging PromptEngineering, Fine-Tuning, and Retrieval Augmented Generation (RAG).
After the completion of the research phase, the data scientists need to collaborate with MLengineers to create automations for building (ML pipelines) and deploying models into production using CI/CD pipelines. Main use cases are around human-like chatbots, summarization, or other content creation such as programming code.
We will discuss how models such as ChatGPT will affect the work of software engineers and MLengineers. Will ChatGPT replace software engineers? Will ChatGPT replace MLEngineers? Input sequence in form of the prompt and context is converted to the output sequence by casual language modelling.
We also review the Chatbot Arena framework. 📌 MLEngineering Event: Join Meta, PepsiCo, RiotGames, Uber & more at apply(ops) apply(ops) is in two days! PromptIDE Elon Musk’s xAI announced PromptIDE, a development environment for promptengineering —> Read more.
Using Graphs for Large Feature Engineering Pipelines Wes Madrigal | MLEngineer | Mad Consulting This talk will outline the complexity of feature engineering from raw entity-level data, the reduction in complexity that comes with composable compute graphs, and an example of the working solution.
In this hands-on session, attendees will learn practical techniques like model testing across diverse scenarios, promptengineering , hyperparameter optimization , fine-tuning , and benchmarking models in sandbox environments. Cloning NotebookLM with Open Weights Models Niels Bantilan, Chief MLEngineer atUnion.AI
The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.
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