CHAI AI is a pioneering conversational AI platform designed to deliver social and engaging user experiences through large-scale, custom-trained language models. Originating as the first consumer AI platform allowing users to create personalized ChatAIs ahead of industry giants like Character AI and ChatGPT, CHAI has rapidly evolved with substantial funding and advanced technological advancements. With over $55M raised, CHAI’s platform supports over 500,000 daily active users (DAU) and is engineered to handle over 1.4 exaflops of compute power distributed across 5,000 GPUs.
Built by quantitative traders and AI researchers in Palo Alto, CA, CHAI focuses on social AI — blending engagement with factual accuracy by leveraging novel models trained specifically for conversation and real-time interaction. Their proprietary models and platform infrastructure have outperformed leading benchmarks, including GPT-3, in user retention and engagement.
Key Features
Custom Large Language Models (LLMs): CHAI builds and continuously improves in-house LLM architectures, ranging from 6 billion to 24 billion parameters, optimized for social interaction and sustained engagement.
Advanced Reward Models: Utilizing reinforcement learning techniques such as RLHF (Reinforcement Learning with Human Feedback), PPO (Proximal Policy Optimization), and DPO (Direct Preference Optimization), CHAI trains reward models on hundreds of millions of user signals to boost retention and session length.
Model Blending & Mesh Orchestration: CHAI’s innovative model blending ensembles multiple LLMs trained on different objectives to exceed GPT-3’s performance, while their Model Mesh orchestrator dynamically manages multi-GPU, multi-cluster deployments supporting over 1 million daily active users.
Massive GPU Inference Cluster: Operations run on a cluster of 5,000 GPUs including NVIDIA A100s and AMD MI300x chips, delivering a peak of 1.4 exaflops compute power and serving over 1.2 trillion tokens daily.
Optimizations such as custom CUDA kernels and GPU orchestration systems improve inference efficiency by nearly an order of magnitude over off-the-shelf solutions.
Multi-Platform Availability: CHAI is accessible via iOS and Android apps with a web platform currently in development, facilitating broad user engagement.
Use Cases
Social AI Chatbots: Create AI-driven conversational agents designed for entertaining, human-like interactions powered by large-scale, specialized LLMs.
Customizable Chat Experiences: Users and developers can tailor chatbots to meet specific social or engagement goals leveraging CHAI’s platform APIs.
Research and Feedback Loops: Researchers can harness CHAI's infrastructure to experiment with user feedback-driven model training, optimizing conversational AI behavior in real-time.
Scalable AI Deployments: Enterprises and developers requiring high concurrency AI inference can leverage CHAI’s model mesh and GPU cluster orchestration.
Quantitative AI Trading: Originating from quant traders, the platform’s expertise in reinforcement learning models supports advanced optimization techniques that can inspire financial modeling and AI research.
FAQ
Q: What makes CHAI different from other conversational AI platforms like ChatGPT or Character AI?
A: CHAI focuses on social engagement and user retention by continuously refining custom-built LLMs trained on extensive human feedback and reinforcement learning techniques. Their infrastructure and model blending surpass GPT-3 in retention metrics.
Q: How does CHAI handle scalability for millions of users?
A: CHAI develops in-house cluster orchestration systems, including Model Mesh, that efficiently allocate workloads over thousands of GPUs across multiple clusters and chip types to maintain reliable, low-latency inference.
Q: Can developers build their own chatbots on CHAI?
A: Yes, CHAI’s platform enables users and developers to create personalized ChatAIs, with incentives for high-quality feedback and iterative improvement.
Q: What are some technical innovations CHAI has introduced?
A: Innovations include model blending (ensembling diverse LLMs in conversation), reward models XL and BO8 for improved engagement, custom CUDA kernels for efficient inference, and deployment of advanced reinforcement learning optimization methods like GRPO.
Q: What platforms support CHAI AI?
A: Currently available on iOS and Android, with a web-based platform coming soon.
Q: How much compute power does CHAI’s infrastructure provide?
A: CHAI operates a powerful inference cluster of about 5,000 GPUs with over 1.4 exaflops of computational performance, serving more than 1.2 trillion tokens daily.
CHAI AI represents the forefront of conversational AI, combining deep research, large-scale infrastructure, and social-focused innovation to redefine engaging digital interactions.
