Anthropic has released a useful set of starter projects. It has partnered with former heads of AI from Brex, Uber, Facebook, and others to help write the first Quickstart, a scalable customer service agent powered by Claude.

Anthropic has expanded its AI assistant, Claude, to Europe. Claude supports multiple languages. Anthropic is offering the service across its website, iOS app, and business plans for teams. The company is beginning the process of raising more money.

Anthropic is introducing a "tool use" feature for its Claude AI chatbot, enabling users to create personalized assistants that can interact with any external API. This feature can analyze data, provide product recommendations, track orders, offer technical support, and even process images for applications like interior design.

Anthropic's new features in Claude allow developers to automate prompt engineering, improving AI application development by generating, testing, and refining prompts with quick feedback.

Anthropic has published the system prompts used to guide its Claude AI models and plans to continue being transparent moving forward.

Salesforce has debuted Agentforce, its effort to create generative AI bots capable of taking action on their own - within established limits.

Anthropic has launched Claude 3.5 Sonnet, boasting better performance than GPT-4o and Gemini on several benchmarks alongside increased speed and expanded capabilities. The update also introduces the Artifacts feature, enhancing user interaction with the AI's outputs. Claude aims to transition from a chatbot to a central tool in business environments, integrating knowledge and workflow management.

Anthropic's new AI model, Claude 3, stands out for its 'warmth,' making it a robust partner in creative writing tasks. Claude 3 is described as more human-feeling and naturalistic, crossing the threshold from good thought to deep thought made enjoyable. Despite technical benchmarks not fully capturing this nuance, Claude 3 is poised to revolutionize how we interact with AI in creative processes.

Anthropic has introduced prompt caching for its Claude models, allowing developers to cache frequently used context, significantly reducing costs and latency, with early users like Notion already benefiting from faster and more efficient AI-powered features.

Automate customer interactions with AI voice assistants.

Anthropic's Claude 3 Haiku is its fastest and most cost-effective AI model. It features advanced vision capabilities and excels in benchmarks. Claude 3 Haiku is designed for enterprises, with a focus on speed and affordability.

Ability AI, a marketing startup, has raised a round to build its marketing agent technologies.

Say hi to Bland AI, the world's most realistic AI phone-calling agent. Chances are, you've already spoken to it without even noticing... It can understand emotions, respond in any voice or language, and is already handling 1M+ phone calls simultaneously - 24/7 - for some of the world's largest businesses. For enterprises, it's been a financial game changer across sales, operations, customer support, you name it. It's like the perfect employee, so expect major shifts in international and US jobs.

Anthropic has trained three new models in the Claude 3 family, the strongest of which matches GPT4’s reported benchmark results. It is also a multimodal model and performs well on vision tasks. Importantly, Claude's coding ability is substantially improved with this release.

The release of Claude 3 has been quite popular, but the prompting style for these models is slightly different. Anthropic has collected a set of user prompts that work well for a wide variety of tasks and topics.

Together AI and Meta have partnered to make a tool that enables users to build entire apps from just a prompt on the LlamaCoder platform. It is akin to Claude Artifacts but purely created to show off the speed of Together AI's inference engine.

Cohere has released a chat interface that includes many nice features for building AI-based chat applications.

Claude is more than just a middle-of-the-road, sycophantic AI that agrees with the user. Claude's personality and character have been specifically designed using a character variant of Constitutional AI. This post goes in-depth on how post-training is used to steer the type of output often generated by Claude to represent this desired character.

Andreessen Horowitz put together a blog post and deck outlining the state of play for AI voice agents and where it sees opportunities for innovation and investment. It covers the currently leading infrastructure stack and maps out the current B2B and B2C application layer landscape.

This article contains an interview with Mike Krieger, the new chief product officer at Anthropic, where he discusses why he decided to work in AI, what products he sees AI will bring in the future, and how he is thinking about building them. Krieger co-founded Instagram. He left Meta in 2018 and launched an AI-powered news reader, which was shut down earlier this year. Anthropic was started in 2021 by former OpenAI executives and researchers. Its main product is Claude, an industry-leading AI model and chatbot that competes with ChatGPT.

OpenAI has announced new enterprise-grade features for its API customers, including enhanced security measures, an upgraded Assistants API, a new Projects feature for granular access control, and cost management tools. These updates demonstrate OpenAI's focus on offering a more "plug and play" experience for enterprises, countering the rise of competitors like Meta's Llama 3 and open models from Mistral.

Klarna aims to replace 2/3rds of customer support roles with its OpenAI-powered AI chatbot designed to handle basic customer support inquiries. While the chatbot is well-built and handles common questions effectively, it relies on human agents for more complex issues, effectively automating only "L1" support. Automating L1 support is not a revolutionary concept - companies have been doing so for years using various methods.

OpenAI recently launched its annual DevDay event in San Francisco, marking a significant shift in how the company engages with developers. This year's event introduced four major API updates designed to enhance the integration of OpenAI's AI models into various applications. Unlike the previous year, which featured a keynote by CEO Sam Altman, the 2024 DevDay adopted a more global approach, with additional events scheduled in London and Singapore. One of the standout features unveiled at the event is the Realtime API, now in public beta. This API allows for speech-to-speech conversations using six preset voices, simplifying the process of creating voice assistants. Previously, developers had to juggle multiple models for different tasks, but the Realtime API enables them to manage everything with a single API call. OpenAI also plans to enhance its Chat Completions API by adding audio input and output capabilities, allowing for more versatile interactions. In addition to the Realtime API, OpenAI introduced two new features aimed at helping developers optimize performance and reduce costs. The first, "model distillation," allows developers to fine-tune smaller, more affordable models using outputs from advanced models, potentially improving the relevance and accuracy of the results. The second feature, "prompt caching," speeds up the inference process by remembering frequently used prompts, offering significant cost savings and faster processing times. Another notable update is the expansion of fine-tuning capabilities to include images, referred to as "vision fine-tuning." This allows developers to customize the multimodal version of GPT-4o by incorporating both images and text, paving the way for advancements in visual search, object detection for autonomous vehicles, and medical image analysis. The absence of a keynote from Sam Altman this year was a notable change, especially given the dramatic events surrounding his leadership in the past year. Instead, the focus was placed on the technology and the product team. Altman did attend the event and participated in a closing "fireside chat," reflecting on the significant changes OpenAI has undergone since the last DevDay, including a drastic reduction in costs and a substantial increase in token volume. Overall, the 2024 DevDay emphasized OpenAI's commitment to empowering developers with new tools and capabilities while navigating the complexities of its recent organizational changes. The event showcased a clear direction towards enhancing AI applications and fostering innovation in the developer community.

Experts.js simplifies the creation and deployment of OpenAI's Assistants, allowing them to be linked together to form a Multi-AI Agent System with expanded memory. It uses OpenAI's Assistants API, which allows for larger context windows, more complex interactions, and better integrations with tools.

Salesforce is overhauling its AI strategy, introducing generative AI tools for tasks without human supervision and revising its pricing model to $2 per AI-driven conversation. This shift aims to address investor concerns about AI-induced job losses impacting subscription-based revenues. The new AI tools offer higher efficiency and autonomy compared to traditional copilots and chatbots.

Google Cloud now offers Claude 3 Opus with tool use along with the smaller models as part of its Vertex AI offering.

The content revolves around a GitHub repository named "assistant-ui," which is developed by Yonom. This repository provides a collection of React components specifically designed for AI chat applications. The components are built to facilitate the integration of various AI models and services, making it easier for developers to create conversational interfaces. The repository highlights its compatibility with a wide range of AI model providers, including well-known names like OpenAI, Anthropic, and Google Gemini, among others. This flexibility allows developers to utilize different AI capabilities without extensive modifications to their codebase. Additionally, the components are designed to work seamlessly with popular tools and libraries such as Langchain, Vercel AI SDK, and TailwindCSS, enhancing the overall development experience. To get started with the assistant-ui, users are guided through a quick setup process. They can create a new project using a command line instruction that sets up the project with the necessary configurations. After creating the project, users are instructed to update their environment file with their OpenAI API key and then run the application to see it in action. The repository is open-source and licensed under the MIT license, encouraging collaboration and contributions from the community. It has garnered significant attention, with over 1.3k stars and 183 forks, indicating a robust interest and usage among developers. The project is actively maintained, with regular updates and contributions from a diverse group of developers. In summary, the assistant-ui repository serves as a valuable resource for developers looking to implement AI chat functionalities in their applications, providing a comprehensive set of tools and components to streamline the development process.

Salesforce says that its AI tools can handle tasks without human supervision. The company plans to charge $2 per conversion held by its new generative AI agents. Salesforce is insulating itself from customer job cuts by pricing its new AI features based on outcomes rather than the number of employees using it. Its new AI agents will allow companies to increase their workforce capacity during busy periods without having to hire additional full-time employees or gig workers.

OpenAI is reportedly planning to launch a new AI as part of a chatbot this fall. Codenamed Strawberry, the AI has advanced mathematical reasoning, programming, and other skills that allow it to answer questions on more subjective topics, like marketing strategies. It can be used to generate high-quality synthetic training data for training large language models. The model could help OpenAI obtain the data it needs to train the GPT-4's successor.

OpenAI recently launched its annual DevDay event in San Francisco, marking a significant shift in how the company engages with developers. This year's event introduced four major API updates designed to enhance the integration of OpenAI's AI models into various applications. Unlike the previous year, which featured a keynote by CEO Sam Altman, the 2024 DevDay adopted a more global approach, with additional events scheduled in London and Singapore. A standout feature unveiled at the event is the Realtime API, now in public beta, which facilitates speech-to-speech conversations using six preset voices. This new API simplifies the development of voice assistants by allowing developers to manage speech recognition, text processing, and text-to-speech conversion through a single API call, streamlining the entire process. In addition to the Realtime API, OpenAI introduced two new features aimed at helping developers optimize performance and reduce costs. The first, "model distillation," enables developers to fine-tune smaller, more affordable models using outputs from advanced models, potentially enhancing the relevance and accuracy of the outputs. The second feature, "prompt caching," accelerates inference by remembering frequently used prompts, offering a 50% discount on input tokens and improving processing times. OpenAI also expanded its fine-tuning capabilities to include images, allowing developers to customize the multimodal version of GPT-4o with both text and images. This advancement opens up new possibilities for applications such as visual search, object detection in autonomous vehicles, and medical image analysis. The absence of a keynote from Altman this year was notable, especially given the dramatic events surrounding his leadership in the past year. Instead, the focus was placed on the product team and the technology itself. Altman did attend the event and participated in a closing "fireside chat," reflecting on the significant changes since the last DevDay, including a dramatic decrease in costs and a substantial increase in token volume across OpenAI's systems. Overall, the 2024 DevDay emphasized OpenAI's commitment to empowering developers with advanced tools and features while navigating the complexities of its internal dynamics and the broader AI landscape.