Improving domain adaptation for language models
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.
20
AI use cases in
Education
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.
Pepperdine University uses Gemini for Google Workspace to enhance accessibility and collaboration across campuses. Faculty leverage generative AI for custom lesson plans and research support, while administrative teams use it for tasks like creating meeting minutes and custom images for presentations. Live captioning and translation features in Google Meet address language barriers, fostering equity and accessibility for students.
MagicSchool, an AI assistant platform for educators and students, uses Anthropic's Claude to help teachers save time by automating tasks like lesson planning, quizzes, and personalized student feedback. This allows teachers to focus more on student interaction, reducing burnout and improving education quality.
43
companies using
Code Agents
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.
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.
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.
188
AI use cases in
North America
Morgan Stanley integrated GPT-4 and Whisper from OpenAI into their workflows, including an internal chatbot and meeting summary tool, enabling financial advisors to quickly retrieve firm knowledge, generate summaries, and provide timely, tailored client insights.
Humach, a customer experience solutions provider, uses Claude via Amazon Bedrock to power AI-assisted agents and digital workers that streamline customer interactions across multiple channels. They developed a Custom Language Model framework integrated into their mAI Pilot platform, including digital voice agents, live agent assistance, sentiment analysis, and content classification.
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.