Claude Enterprise Takes on OpenAI 💼, Alibaba’s Qwen2-VL 🎥, GroqCloud’s LLaVA v1.5 7B 👁️

Claude Enterprise Takes on OpenAI

Anthropic has introduced Claude Enterprise, a new AI chatbot subscription plan tailored for businesses, designed to compete with OpenAI's ChatGPT Enterprise.

Key features:

• Ingestion of proprietary company information: Allows the chatbot to answer questions and provide customized AI support based on internal business data.

• 500,000-token context window: Enables the processing of large datasets, such as extensive documents or code, in a single prompt—more than double the capacity of ChatGPT Enterprise.

• Projects and Artifacts: Collaborative workspaces where teams can upload, edit, and manage content for long-term or complex projects.

• GitHub integration: Syncs with GitHub repositories to streamline workflows for developers, enhancing code management and bug fixes.

• Strong security features: Provides administrative control over user access and protects customer data, ensuring it is not used for training the AI model.

• Higher cost justified by advanced features: Pricing is undisclosed, but the added functionality and higher limits cater to enterprise needs.

Read the full version Here!

Alibaba has unveiled Qwen2-VL: Can analyze videos more than 20 minutes long

Alibaba has introduced Qwen2-VL, a new vision-language model that significantly advances AI’s ability to interact with visual content. Key features include state-of-the-art image understanding, excelling in benchmarks like MathVista and DocVQA, and the ability to comprehend and summarize videos over 20 minutes. It also supports multilingual text in images, spanning multiple languages, and can autonomously operate devices such as robots.

Technological innovations include Naive Dynamic Resolution, which processes images at various resolutions, and Multimodal Rotary Position Embedding (M-ROPE), enhancing its ability to understand textual, visual, and video data. Three versions are available: Qwen2-VL-2B (for mobile), Qwen2-VL-7B (mid-sized), and Qwen2-VL-72B (powerful API-accessible model).

Qwen2-VL excels in visual question answering, automated document analysis, and cross-lingual processing, with applications in robotics and device automation. Alibaba has open-sourced the 2B and 7B models, while the 72B model is available via API for advanced use cases.

Read the full version Here!

Introducing LLaVA V1.5 7B on GroqCloud

GroqCloud has introduced LLaVA v1.5 7B, a multimodal AI model that supports image, audio, and text processing, now available on the GroqCloud Developer Console. Built on OpenAI’s CLIP and Meta’s Llama 2 7B, LLaVA excels in visual question answering (VQA), image captioning, optical character recognition (OCR), and multimodal dialogue.

Key applications include inventory tracking in retail, generating image descriptions for accessibility, and enhancing customer service chatbots with text and image interactions. It also offers industry-specific benefits in quality control, financial document auditing, retail management, and educational tools.

LLaVA v1.5 7B is available in Preview Mode, offering developers a platform to build innovative multimodal AI applications on GroqCloud.

Nvidia Free IT Course: Accelerate Data Science Workflows with Zero Code Changes

Course Outline
Understand the benefits of a unified workflow across CPUs and GPUs for data science tasks.
Learn how to GPU-accelerate various data processing and machine learning workflows with zero code changes.
Experience the significant reduction in processing time when workflows are GPU-accelerated.

Learning Objectives
In this course, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows.

By participating in this workshop, you’ll:

• Understand the benefits of a unified workflow across CPUs and GPUs for data science tasks.

• Learn how to GPU-accelerate various data processing and machine learning workflows with zero code changes.

• Experience the significant reduction in processing time when workflows are GPU-accelerated.

⭐⭐⭐

How to Build a Native OpenUSD XR Application

About This Course
In this hands-on lab, learn how to take advantage of Universal Scene Description (OpenUSD) to accelerate your Extended Reality (XR) development and enhance visual fidelity like never before. This session will equip you with the skills and tools necessary to build, customize, and stream your own OpenUSD native XR applications using NVIDIA Omniverse and NVIDIA CloudXR.

Learning Objectives
Start building a simple app and USD stage using NVIDIA Omniverse Kit SDK..
Add the Omniverse Spatial Framework to your app.
Interact with Spatial Framework functionality using Python.
Customize an XR interface panel to modify your USD stage.
Stream your app to an immersive device with NVIDIA CloudXR or OpenXR.

Topics Covered
Omniverse
Omniverse Extensions
OpenUSD Variants
XR

LIST OF TOOLS

🖼️ OpenCV - Comprehensive tools for image processing and computer vision.

🔗 TensorFlow - Machine learning framework for computer vision tasks.

🔥 PyTorch - Dynamic computation graph for computer vision.

🧠 Keras - High-level neural networks API.

☕ Caffe - Deep learning framework for image classification.

🚀 Fastai - High-level library for training neural networks.

🧐 Detectron2 - State-of-the-art detection and segmentation algorithms.

📊 Roboflow - Dataset management and annotation for computer vision.

Microsoft to announce ‘next phase of Copilot’ on September 16th
Microsoft's September 4, 2024, event, led by CEO Satya Nadella, unveiled updates to Copilot, its AI assistant for Microsoft 365. The focus was on deeper integration with apps like Word and Excel, automating tasks, and improving productivity. Copilot's pricing is set at $30 per user per month, with more updates to be revealed in a follow-up event on September 16

AI startup You.com raises $50 million, predicts ‘more AI agents than people’ by 2025
AI startup You.com has raised $50 million in funding, with CEO Richard Socher predicting that by 2025, there will be more AI agents than humans. You.com aims to create a more customizable search experience, allowing users to tailor AI agents to their specific needs. The new funding will help the company expand its platform and integrate AI agents more deeply into everyday tasks, from answering questions to automating workflows, positioning You.com as a key player in the growing AI ecosystem.

Google's Gems are a gentle introduction to AI prompt engineering
Google's "Gems" feature in its Gemini AI system introduces prompt engineering through customizable templates. These Gems help users create specialized chatbots for tasks like tutoring or brainstorming. The feature is ideal for beginners, guiding them in crafting effective prompts. Available only to advanced plan users, Gems can be saved for future use


Meet the new, most powerful open source AI model in the world: HyperWrite’s Reflection 70B
HyperWrite's Reflection 70B is the most powerful open-source AI model, built on Meta’s Llama 3.1 70B Instruct. Using "Reflection-Tuning," it identifies and corrects its own errors during processing, outperforming other models in benchmarks. It’s designed for high-precision tasks and can display its reasoning in real time. A more powerful version, Reflection 405B, is coming soon


Nvidia’s AI chips are cheaper to rent in China than US
The article from the Financial Times discusses Nvidia's AI chips being cheaper to rent in China than in the US. This discrepancy is reportedly due to high demand in the US, leading to increased rental costs, while the Chinese market has seen a slowdown, making rentals more affordable. This development highlights differences in AI market dynamics between the two countries, influenced by factors like regulatory environments and local demand for AI infrastructure.

👥 Connect & Feedback!

👉 Join Us:

📧 Advertise In Weekly AI News:

📧 Contact directly at [email protected]

😍 Share with your friends!