NVIDIA leverages Meta's Llama 3.1 models and employs structured weight pruning and knowledge distillation to develop smaller, more efficient Llama-Minitron models.

Lazy AI uses Claude to lower the barrier to web development by automating complex tasks such as cloud deployment and code generation. Users can build full-stack web apps through conversational prompts, making software development accessible to those with limited coding experience. The platform has achieved a 51% reduction in code requiring multiple fixes, 73% success rate for first-attempt feature implementation, and 64% accuracy in generating syntactically correct JavaScript.

Commercial Bank of Dubai upgraded its application infrastructure using Microsoft Azure, leveraging GitHub Copilot and Azure OpenAI to modernize applications, improve transaction security and speed, and enable faster development.

Sourcegraph uses Anthropic's Claude 3 Sonnet as the default model in its AI coding assistant, Cody, which helps developers write and understand code faster. The AI provides context-aware chat and tools like inline code completions, significantly speeding up coding processes. Cody uses different models (Sonnet, Opus, Haiku) optimized for speed, intelligence, and long-context recall, increasing the quality and accuracy of code suggestions. Cody Pro and Enterprise users benefit from even more advanced features powered by these models.

Factory uses Claude 3 Opus and Haiku models to power autonomous "Droids" that automate various labor-intensive software development tasks, such as code reviews, migrations, and feature requests. These AI-powered Droids save customers over 550,000 hours and millions of dollars by streamlining development and reducing code churn by 3x.

Paf implemented ChatGPT Enterprise across its entire company, with engineers creating 85 custom GPTs to automate and streamline development tasks such as backend infrastructure, frontend components, and API generation. These specialized GPTs enable developers to generate standardized code more efficiently, improving productivity. ChatGPT is also integrated into the grit:lab coding academy, accelerating the training of future software developers.

Cloudflare, a leading content delivery network provider, serves Mistral 7B through their Workers AI platform, allowing users to run AI models on Cloudflare's global network. Mistral offers low latency, high throughput, and impressive performance, generating tokens up to 4x faster than Llama due to Grouped-Query attention. This enhances Cloudflare's AI offerings, enabling developers to build and deploy AI applications more efficiently.

Unity built Muse Chat, an AI assistant integrated directly into the Unity Editor using Microsoft Azure OpenAI Service. They implemented the solution by leveraging GPT-4 and GPT-3.5 Turbo models along with Azure AI Content Safety to provide tailored troubleshooting and coding solutions based on Unity’s extensive documentation and project-specific settings. The integration streamlined the development process by enabling developers to resolve issues quickly and efficiently.

OctoAI launched a production-ready Mixtral endpoint days after the model's initial announcement. Mixtral on OctoAI quickly became the most popular model on the platform, with about 9 out of every 10 new OctoAI sign-ups choosing Mixtral. Companies like Latitude Games and Otherside AI use Mixtral on OctoAI to deliver engaging LLM-powered experiences, generating billions of tokens daily.

Brave, an open-source privacy-focused web browser with an integrated AI assistant called Brave Leo, uses Mistral's 8x7B model as its primary model for both free and premium versions. Brave also leverages Mistral's capabilities for its CodeLLM feature, addressing programming-related queries in Brave Search. The exceptional performance and open-source nature of Mistral's models align with Brave's commitment to open models and the open-source community.

Wayfair piloted Code Assist, and those developers with the code agent were able to set up their environments 55 percent faster than before, there was a 48 percent increase in code performance during unit testing, and 60 percent of developers reported that they were able to focus on more satisfying work.

Seattle Children's hospital is using AI to boost data engineering productivity and accelerate development.

Quantiphi saw developer productivity gains of more than 30% during their Code Assist pilot.

Turing is customizing Gemini Code Assist on their private codebase, empowering their developers with highly personalized and contextually relevant coding suggestions that have increased productivity around 30 percent and made day-to-day coding more enjoyable.

Commerzbank is enhancing developer efficiency through Code Assist's robust security and compliance features.

Capgemini has been using Code Assist to improve software engineering productivity, quality, security, and developer experience, with early results showing workload gains for coding and more stable code quality.

Replit developers will get access to Google Cloud infrastructure, services, and foundation models via Ghostwriter, Replit's software development AI, while Google Cloud and Workspace developers will get access to Replit’s collaborative code editing platform.

ClearPoint integrated Meta's Llama 3 with Google's code scanner lint to perform an automated refactor of over 500 code files in a large Kotlin codebase. With less than 500 lines of automation code, they produced a migration that runs with a single build command without human intervention, saving an estimated 11 engineering weeks and improving efficiency without risking IP or vendor lock-in.

Ironclad uses OpenAI’s tech to power their AI assistant, a contract lifecycle management tool that identifies and redlines contract irregularities. The integration allows legal teams to reduce contract redlining time from 40 minutes to 2 minutes, improving efficiency without replacing human oversight.

Harvey, an AI platform for law and professional services firms, partnered with OpenAI to build a custom-trained case law model. It has enabled its AI to assist with complex legal reasoning, contract review, drafting legal documents, and case law research.

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Their model has proven to be significantly more accurate and thorough than standard GPT for legal professionals, reducing errors like hallucinations and providing detailed, source-cited responses.

Robin AI uses Anthropic’s Claude to streamline contract review processes by accelerating legal workflows up to 8-10 times. By integrating Claude via Amazon Bedrock, Robin AI ensures data security and trust, which are critical to its legal users, allowing lawyers to work with AI as a co-pilot in contract negotiation and review.

JetBrains integrates OpenAI's API into its AI Assistant product, enhancing developer productivity by providing intelligent code suggestions, writing tests, generating documentation, and refactoring code. This AI Assistant has become JetBrains' fastest-growing product, with 77% of developers reporting increased productivity and 55% finding more time for engaging tasks.

Retool uses GPT-4 to help businesses quickly build AI-powered applications for various business processes, such as inventory management, customer support, and custom product experiences. The platform provides pre-built AI actions like generating text and chatbots, making it easier for companies to integrate AI with secure data access and promote efficiency.

GitLab uses Claude to power AI-driven features across their DevSecOps platform. These include generative code generation, chat, and summarization tools. By integrating Claude, GitLab accelerates development while maintaining security and stability, ensuring privacy-first AI solutions across the software lifecycle.

MongoDB extends Mistral's performance and efficiency from the model layer to the data layer by securely unifying application data, metadata, and vector embeddings in a single platform. Developers can create rich, real-time AI applications across various use cases, from conversational AI to complex reasoning, gaining a competitive edge by building with Mistral AI and MongoDB.

Researchers at UC Berkeley have introduced RAFT (Retrieval-Augmented Fine-Tuning) by leveraging Meta Llama 2 on Azure AI Studio. RAFT enhances domain adaptation in language models by improving their ability to retrieve and integrate relevant information. This novel approach benefits specialized applications by making Meta Llama 2 more versatile and adaptable to various domain-specific tasks.