In this tutorial, we explore Ivy’s remarkable ability to unify machine learning development across frameworks. We begin by writing a […]
Category: Artificial Intelligence
Microsoft AI Debuts MAI-Image-1: An In-House Text-to-Image Model that Enters LMArena’s Top-10
Microsoft AI introduced MAI-Image-1, its first image generation model developed entirely in-house at Microsoft. The model has debuted in the […]
How to Evaluate Your RAG Pipeline with Synthetic Data?
Evaluating LLM applications, particularly those using RAG (Retrieval-Augmented Generation), is crucial but often neglected. Without proper evaluation, it’s almost impossible […]
Google’s Photoshop-killer AI model is coming to search, Photos, and NotebookLM
NotebookLM added a video overview feature several months back, which uses AI to generate a video summary of the content […]
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Vector Databases vs Traditional Databases: What Enterprises Should Know
PostgreSQL, MySQL, and Oracle have powered enterprise systems for decades; optimized for clearly defined schemas, transactional integrity, and predictable performance. […]
SwiReasoning: Entropy-Driven Alternation of Latent and Explicit Chain-of-Thought for Reasoning LLMs
SwiReasoning is a decoding-time framework that lets a reasoning LLM decide when to think in latent space and when to […]
Google Introduces Speech-to-Retrieval (S2R) Approach that Maps a Spoken Query Directly to an Embedding and Retrieves Information without First Converting Speech to Text
Google AI Research team has brought a production shift in Voice Search by introducing Speech-to-Retrieval (S2R). S2R maps a spoken […]
A Coding Implementation of Secure AI Agent with Self-Auditing Guardrails, PII Redaction, and Safe Tool Access in Python
In this tutorial, we explore how to secure AI agents in practical, hands-on ways using Python. We focus on building […]
Sentient AI Releases ROMA: An Open-Source and AGI Focused Meta-Agent Framework for Building AI Agents with Hierarchical Task Execution
Sentient AI has released ROMA (Recursive Open Meta-Agent), an open-source meta-agent framework for building high-performance multi-agent systems. ROMA structures agentic […]
A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning
In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a […]