Author: Advanced AI Bot

August 1, 2024 Black Forest Labs released three new models Flux.1 – Pro, Dev and Schnell. The Pro version is not open source and is available through their API but DEV and Schnell are both open source and available to download via Huggingface page. Dev is a higher quality model than Schnell, but Schnell is much faster (4 steps). These are big models though both of them weight a whopping 23.8GB each and they require high level of VRAM to run. It is recommended that you have 32GB RAM. However, don’t be sad because there is a way to run…

Organizations are eager to move into the era of agentic AI, but moving AI projects from development to production remains a challenge. Deploying agentic AI apps often requires complex configurations and integrations, delaying time to value.  Barriers to deploying agentic AI:  Knowing where to start: Without a structured framework, connecting tools and configuring systems is time-consuming. Scaling effectively: Performance, reliability, and cost management become resource drains without a scalable infrastructure. Ensuring security and compliance: Many solutions rely on uncontrolled data and models instead of permissioned, tested ones Governance and observability: AI infrastructure and deployments need clear documentation and traceability. Monitoring…

Temporal consistency is critical in video prediction to ensure that outputs are coherent and free of artifacts. Traditional methods, such as temporal attention and 3D convolution, may struggle with significant object motion and may not capture long-range temporal dependencies in dynamic scenes. To address this gap, we propose the Tracktention Layer, a novel architectural component that explicitly integrates motion information using point tracks, i.e., sequences of corresponding points across frames. By incorporating these motion cues, the Tracktention Layer enhances temporal alignment and effectively handles complex object motions, maintaining consistent feature representations over time. Our approach is computationally efficient and can…

Text-guided image editing aims to modify specific regions of an image according to natural language instructions while maintaining the general structure and the background fidelity. Existing methods utilize masks derived from cross-attention maps generated from diffusion models to identify the target regions for modification. However, since cross-attention mechanisms focus on semantic relevance, they struggle to maintain the image integrity. As a result, these methods often lack spatial consistency, leading to editing artifacts and distortions. In this work, we address these limitations and introduce LOCATEdit, which enhances cross-attention maps through a graph-based approach utilizing self-attention-derived patch relationships to maintain smooth, coherent…

When implementing machine learning (ML) workflows in Amazon SageMaker Canvas, organizations might need to consider external dependencies required for their specific use cases. Although SageMaker Canvas provides powerful no-code and low-code capabilities for rapid experimentation, some projects might require specialized dependencies and libraries that aren’t included by default in SageMaker Canvas. This post provides an example of how to incorporate code that relies on external dependencies into your SageMaker Canvas workflows. Amazon SageMaker Canvas is a low-code no-code (LCNC) ML platform that guides users through every stage of the ML journey, from initial data preparation to final model deployment. Without…

Amazon Bedrock Guardrails announces the general availability of image content filters, enabling you to moderate both image and text content in your generative AI applications. Previously limited to text-only filtering, this enhancement now provides comprehensive content moderation across both modalities. This new capability removes the heavy lifting required to build your own image safeguards or spend cycles on manual content moderation that can be error-prone and tedious. Tero Hottinen, VP, Head of Strategic Partnerships at KONE, envisions the following use case: “In its ongoing evaluation, KONE recognizes the potential of Amazon Bedrock Guardrails as a key component in protecting generative…

By Beau Wysong, Opus 2. Artificial intelligence (AI) has been a buzzword in the legal industry for years, but many law firms and litigation teams are still in the early stages of evaluating its practical applications. As law firms define their AI strategy and explore ways to gain an edge in litigation, a use-case-driven approach—focusing on solutions that address specific pain points, rather than general AI platforms with broad applications—has proven to be most effective. By integrating AI into existing workflows, firms can maximize the benefits of AI and ensure their litigation team has every advantage. Among AI’s many applications…

Ghibli-style AI art ‘melting’ GPUs saga continues. Just days ago, the excitement surrounding ChatGPT’s enhanced and user-friendly image generation features prompted OpenAI to impose a temporary cap on requests. In a Twitter update, OpenAI CEO Sam Altman wrote just a say after GPT-4o was rolled out, “It’s awesome to see people enjoying images in ChatGPT, but our GPUs are overheating. We’re rolling out some temporary rate limits while we optimize things—shouldn’t take too long! Soon, the free tier of ChatGPT will get 3 generations daily.” While Altman didn’t detail the specifics of the limit, he expressed hope that it would…

The filing of a lawsuit by a Tesla owner who had his vehicle vandalized by a brainwashed member of what is being called the “Tesla Takeover” movement should be the first of many. For the past few months, we have seen so many instances of intimidation by those who oppose Tesla, CEO Elon Musk, and President Donald Trump. These occurrences have been incredibly frequent and have varied in terms of their severity. It’s been as arbitrary as keying a car, and as violent as gunshots and Molotov cocktails being shot and thrown at showrooms. The side of the perpetrators seems…

The legal tech group connected to UK-based law firm Kennedys has launched what it’s calling the ‘first fully explainable neuro-symbolic AI risk analysis solution’. It’s called Kennedys IQ SmartRisk, plus it’s ‘devastatingly trustworthy’ they say. The firm explained that the tool will ‘transform how insurers approach policy review, liability, and coverage analysis by accelerating review and decision-making whilst improving accuracy and consistency’. The product, which comes out of the Kennedys IQ group, sounds intriguing….but what on Earth is neuro-symbolic AI? Here’s how they put things: ‘Unlike pure GenAI solutions that rely solely on probabilistic outputs, Kennedys IQ SmartRisk leverages a…