Hands-On Guide to Experiencing Claude’s Computer-Use Feature Without Any Coding BackgroundContinue reading on Medium »

Discover Le Chat: Free ChatGPT Alternatives with Canvas, Internet Search, and Flux.1 Image GenerationContinue reading on Medium »

Let’s explore GR-2 together.Continue reading on Medium »

How AI is Transforming Medicine and Improving Lives AI in the Healthcare DomainContinue reading on Medium »

Stability AI’s latest release offering New Models and FeaturesContinue reading on Medium »

Anthropic’s Groundbreaking AI, Claude 3.5, Uses Computers Like a Human and Becomes a Game-Changer in AutomationContinue reading on Medium »

Working ExamplesContinue reading on Medium »

Revolutionising On-Device AI: High-Performance, Low-Resource Language Models for Edge ComputingContinue reading on Medium »

How Apple’s Research Exposes AI’s Inability to Reason and OpenAI Highlights ChatGPT’s Name-Based BiasesContinue reading on Medium »

The Most Recent Cutting-Edge Models Author Aditya Iyengar (ORCID: 0009–0005–1959–9724) Introduction The past 6 months marked significant technological leaps in the field of artificial intelligence (AI), especially in the realm of image generation. In this six-month window, multiple innovations redefined the capabilities of text-to-image, video generation, and multimodal AI systems.

Working Examples Author Mingrui Gao ( ORCID : 0009–0005–7271–2677) Introduction Machine learning has revolutionised countless industries, but deploying ML models remains a significant challenge for many data scientists and developers. The process often involves wrestling with complex dependencies, managing environment configurations, and navigating the intricacies of containerisation.