api

Discover the Accenture Responsible AI Platform powered by AWS, designed to help companies navigate the responsible deployment of generative AI. This flexible platform offers guidance and customization options, assisting with risk identification, compliance, and scalability. While many companies have yet to address responsible AI, collaboration between Accenture and AWS aims to bridge the gap. Learn more about the importance of responsible AI and how enterprises can prioritize its deployment.

Discover how prompt caching on Anthropic's API is revolutionizing the way developers interact with models, enabling them to add background information without additional costs. This feature has garnered positive feedback, offering substantial speed and cost improvements across various use cases. Learn how prompt caching reduces costs and increases efficiency, making it an essential tool for developers leveraging AI models. Read more here.

Improve Application Security While Meeting Tight Deadlines | Don't sacrifice security for speed. Learn how to address the cracks and weaknesses in application security that arise from rushing development. Discover the productivity gains of generative AI chatbots and tools, as well as the growing gaps in governance, risk, and security. Forrester offers key insights on increasing cybersecurity spending, committing to Secure-by-Design principles, prioritizing API security, integrating security through DevSecOps, and strengthening software supply chain security. Find out how collaboration between security, development, and operations can ensure the speed and efficiency of your development process without compromising security.

Discover how Chevron is utilizing AI to extract valuable insights from massive datasets in the oil and gas industry. Learn how the company is leveraging generative AI tools to analyze data, gain a competitive edge, and ensure safety in its operations. Explore Chevron's use of large language models and robotic models, as well as its efforts to address environmental impact through carbon sequestration and sustainable solutions. Find out how Chevron's adoption of AI technologies is optimizing operations and positioning the company as a leader in the energy sector.

OpenAI introduces new enterprise controls for its ChatGPT Enterprise platform, addressing compliance, data security, and access scaling concerns. The Enterprise Compliance API provides a time-stamped record of interactions, enabling audits and compliance with data-sharing regulations. Partnering with third-party providers, OpenAI offers integrations for archiving, audit trails, data redaction, and policy enforcement. An identity management system simplifies permissioning, and administrative controls enhance control over custom GPTs and chatbots. ChatGPT Enterprise offers enhanced security, larger context windows, and faster results. OpenAI's focus on the enterprise sector is emphasized, backed by their advanced GPT-4o model.

Discover the challenges and opportunities of implementing generative AI in enterprises. Find out why senior analytics and IT leaders are investing millions in this technology and how it can revolutionize operations and products. Learn about infrastructure barriers, tech stack complications, and data challenges, and explore strategies to overcome them. Prepare for the future wave of generative AI technologies and drive innovation in your organization.

Discover how Meta AI researchers have developed MobileLLM, a groundbreaking approach to efficient language models for smartphones and resource-constrained devices. By optimizing models with fewer than 1 billion parameters, MobileLLM challenges the assumption that effective AI models must be massive in size. Learn about the innovative design choices that make MobileLLM highly effective, outperforming previous models by 2.7% to 4.3% on benchmark tasks. Explore how this development aligns with the growing interest in more efficient AI models and opens up new possibilities for on-device AI applications.

Discover the shortcomings in current AI agent benchmarks and evaluation practices highlighted by Princeton University researchers. Learn about the lack of cost control, the importance of considering inference costs in real-world applications, and the prevalence of overfitting. Find out how these issues can be addressed to ensure the reliability and practicality of AI agents.

Discover the growing threat of deepfakes and their impact on the banking industry. Learn about the alarming statistics and projected losses, as well as the rise of AI-powered fraud. Understand why many enterprises are unprepared for these attacks and the specific targeting of CEOs. Take immediate action by implementing strategies and investing in advanced AI technologies to defend against deepfakes and protect your organization from financial losses and reputational damage.