MindOS Blog

How can we ensure AI serves not just a select few but every individual? The answer lies in Adaptive AI and ADI.

Meta-Prompting, UniMS-RAG, Corrective RAG, Topologies of Reasoning, Investigate-Consolidate-Exploit, WebVoyager, DITTO, SliceGPT, etc.

Personal LLM Agents, CoT Reasoning Step, User Embedding Model, Sleeper Agents, TrustLLM, Lightning Attention-2, Reward Modeling, Batch-ICL

Extend LLM Context Window, Self-Play Fine-Tuning, CALM, Self-Contrast, TinyLlama, Mixtral 8x7B, Agent AI, MoE-Mamba, SeeAct

WaveCoder, SuperContext, hallucination detection, SOLAR 10.7B, LLM working memory, Long-Term Conditional Memory, Text Embeddings etc.

LLM in a flash, LLM Contextual Pruning, LASER, RAG, Reasoning with foundation models, LAPO, LLM knowledge discovery, APPAgent, Pangu-Agent

LLMPA, KwaiAgents, CogAgent, Evolving Memory and Self-Reflection, LDM^2, ReST and ReAct, CoT-Max, LLMLingua

FreeAL, RoboGPT, Unlearning, Universal Self-Consistency, Compositional CoT, Induction-Augmented Generation, ExploreLLM, TaskWeaver