AI’s Thirst for Data Might Soon Outpace Internet’s Supply
AI’s Thirst for Data Might Soon Outpace Internet’s Supply
AI’s Thirst for Data Might Soon Outpace Internet’s Supply Read More »
AI’s Thirst for Data Might Soon Outpace Internet’s Supply
AI’s Thirst for Data Might Soon Outpace Internet’s Supply Read More »
US and UK Collaborate on Advanced AI Safety Research and Testing
US and UK Collaborate on Advanced AI Safety Research and Testing Read More »
Apple Enhances Siri for Faster, Context-Aware Commands with ReALM Model
Apple Enhances Siri for Faster, Context-Aware Commands with ReALM Model Read More »
Microsoft Enhances Azure AI Studio with Advanced Security Tools
Microsoft Enhances Azure AI Studio with Advanced Safety And Security Features Read More »
IBM Cuts Costs by Over $500 Million Using Generative AI, Elevates Workforce Efficiency
IBM Cuts Costs by Over $500 Million Using Generative AI Read More »
White House Mandates Agencies to Appoint Chief AI Officers for Safe, Responsible Use
Federal agencies rush to appoint chief AI officers Read More »
“Andrew Ng Introduces Essential AI Workflow Design Patterns for 2023”
Andrew Ng Introduces Agentic AI Design Patterns for 2024 Read More »
Generative AI has seen significant growth in consumer spending in 2023, and this trend is expected to continue in the enterprise market. Enterprise leaders are increasing budgets and expanding use cases for generative AI. Startups that focus on building scalable products for enterprise needs will have a great opportunity for investment and market share. Enterprises are reallocating AI investments to recurring software budget lines and measuring the return on investment through increased productivity and tangible metrics like revenue generation and cost savings. Implementing and scaling generative AI requires specialized technical talent, and startups offering tooling to make it easier for enterprises to bring AI development in-house will see faster adoption. Enterprises are trending towards a multi-model, open-source approach, experimenting with and using multiple models to tailor to different use cases and avoid lock-in. Open source models are being preferred by enterprises due to control, customization, and fine-tuning capabilities, with cost being secondary. Enterprises prioritize control and data security, often hosting open source models themselves or choosing models with virtual private
Budgets for generative AI are skyrocketing Read More »
Open Interpreter, known for its open-source code interpreter implementation for ChatGPT, has now ventured into AI hardware with the release of O1 – an open-source ecosystem for AI devices. O1 Light is a voice interface that controls your computer, being capable of performing tasks like sending text, editing files, and accessing the web. Its long-term goal is to become the Linux for next-generation AI-first devices, and O1 Light serves as the initial step towards this vision. Available for purchase at $100 or can be built using open-sourced details.
Voice-Controlled AI Gadgets Will Change The Way You Use a Computer Read More »
NVIDIA’s latest announcements at GTC conference include Blackwell chip with improved training and inference performance, NIMs for easy AI development, and GR00T for advanced robotic capabilities. Exciting advancements in generative AI.
NVIDIA announced a whole suite of tools focused on AI Read More »