Innovating AI development workflows
NinjaTech AI harnesses Meta Llama 3 alongside AWS's Trainium & Inferentia2 chips and PyTorch to develop next-generation AI agents (Ninja LLMs).
39
AI use cases in
Artificial Intelligence
Hume AI, a leader in emotionally intelligent AI systems, utilizes Anthropic's Claude to power natural and empathetic voice conversations through their EVI platform. This integration enables Hume's clients in healthcare, customer service, and consumer applications to build trust with users by providing emotionally aware and responsive interactions.
Decagon, a company focused on automating customer support, uses OpenAI's suite of GPT models, including GPT-3.5 and GPT-4, to manage large volumes of support inquiries without human intervention. The models are configured for tasks such as query rewriting, complex decision-making, and API request processing, offering scalable, nuanced responses tailored to each customer's needs.
Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.
43
companies using
Code Agents
StackBlitz integrated Claude 3.5 Sonnet into Bolt, their browser-based development platform, enabling users to create web applications via natural language without coding experience. This integration allowed rapid development and reduced costs by leveraging Claude's zero-shot code generation capabilities alongside WebContainers technology.
StackBlitz integrated Claude 3.5 Sonnet into its browser-based development platform, Bolt, enabling users to develop sophisticated web applications with natural language inputs. This allowed both developers and non-developers to go from idea to production in one click, without needing coding experience or virtual machines.
Tabnine, an AI coding assistant, uses Claude 3.5 Sonnet for code explanations, suggestions, and code generation. Using Claude in Amazon Bedrock, Tabnine assists on common coding tasks like completions, debugging, test generation, refactoring, and code migration.
49
solutions powered by
Meta
Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.
Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.
CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.
129
AI use cases in
Global
Intercom, a leading customer service platform, integrated Claude from Anthropic into their AI agent Fin to automatically resolve up to 86% of customer support queries with human-quality, personalized responses in over 45 languages. This implementation reduces response times from 30 minutes to seconds and enables human agents to focus on more complex issues.
StudyFetch built a comprehensive learning platform powered by Claude, providing personalized learning experiences through their AI tutor Spark.E. The platform analyzes lectures, generates study materials, and offers 24/7 tutoring support in over 20 languages, enabling students to master complex subjects with tailored, interactive assistance.
BBVA, a global financial institution, widely adopted ChatGPT Enterprise, creating over 2,900 custom GPTs within five months. By integrating ChatGPT into various departments, BBVA empowered its 125,000 employees to develop tailored AI solutions that enhance efficiency, spark creativity, and streamline workflows. This democratized AI access enabled rapid prototyping, reduced project timelines from weeks to hours, and facilitated the sharing of expert knowledge across the organization.