GenAI

GenAI

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Guidelines for Human-AI Interaction - Microsoft HAX Toolkit
Guidelines for Human-AI Interaction - Microsoft HAX Toolkit
Best practices for designing AI user experiences What are the Guidelines? The Guidelines are evidence-based best practices for designing your AI user experiences. How do I use the Guidelines? The Design Library helps you learn each Guideline. Explore examples and design patterns for implementing them throughout the user experience: upon initial interaction, during interaction, when […]
·microsoft.com·
Guidelines for Human-AI Interaction - Microsoft HAX Toolkit
Best practices for building collaborative UX with Human-AI partnership
Best practices for building collaborative UX with Human-AI partnership
Learn about the best practices for creating the collaborative user experiences by leveraging the power of human-AI partnership. Learn how to optimise your design process with these essential tips and strategies.
·learn.microsoft.com·
Best practices for building collaborative UX with Human-AI partnership
Databricks Foundation Model APIs - Azure Databricks
Databricks Foundation Model APIs - Azure Databricks
This article provides an overview of the Foundation Model APIs in Databricks. It includes requirements for use, supported models, and limitations.
Using the Foundation Model APIs you can: Query a generalized LLM to verify a project’s validity before investing more resources. Query a generalized LLM in order to create a quick proof-of-concept for an LLM-based application before investing in training and deploying a custom model. Use a foundation model, along with a vector database, to build a chatbot using retrieval augmented generation (RAG). Replace proprietary models with open alternatives to optimize for cost and performance. Efficiently compare LLMs to see which is the best candidate for your use case, or swap a production model with a better performing one. Build an LLM application for development or production on top of a scalable, SLA-backed LLM serving solution that can support your production traffic spikes.
·learn.microsoft.com·
Databricks Foundation Model APIs - Azure Databricks
Orchestrating Agents: Routines and Handoffs | OpenAI Cookbook
Orchestrating Agents: Routines and Handoffs | OpenAI Cookbook
Open-source examples and guides for building with the OpenAI API. Browse a collection of snippets, advanced techniques and walkthroughs. Share your own examples and guides.
·cookbook.openai.com·
Orchestrating Agents: Routines and Handoffs | OpenAI Cookbook
Advanced RAG course
Advanced RAG course
Practical RAG techniques for engineers: learn production-ready solutions from industry experts to optimize performance, cut costs, and enhance the accuracy and relevance of your applications.
·wandb.courses·
Advanced RAG course
rerankers: A Lightweight Python Library to Unify Ranking Methods – Answer.AI
rerankers: A Lightweight Python Library to Unify Ranking Methods – Answer.AI
Re-ranking is an integral component of many retrieval pipelines; however, there exist numerous approaches to it, all with different implementation methods. To mitigate this, we propose rerankers, a Python library which provides a simple, easy-to-use interface to all commonly used re-ranking approaches.
·answer.ai·
rerankers: A Lightweight Python Library to Unify Ranking Methods – Answer.AI
Roadmaps
Roadmaps
Community driven roadmaps, articles and guides for developers to grow in their career.
·roadmap.sh·
Roadmaps
NirDiamant/GenAI_Agents: This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
NirDiamant/GenAI_Agents: This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A...
·github.com·
NirDiamant/GenAI_Agents: This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.