KPU - Maisa

An AI-powered knowledge processing platform with simple APIs for executing business tasks.

CommonProductProductivityArtificial IntelligenceLarge Language Models

KPU (Knowledge Processing Unit) is a proprietary and rich framework that leverages the powerful capabilities of large language models and separates reasoning and data processing into an open system capable of tackling complex tasks. It comprises three main components: a reasoning engine, an execution engine, and a virtual context window. The reasoning engine is responsible for designing a step-by-step plan to solve user-defined tasks, utilizing pluggable large language models (currently widely tested with GPT-4 Turbo). The execution engine receives commands from the reasoning engine and executes them, sending the results back to the reasoning engine for replanning. The virtual context window manages the data and information input-output between the reasoning engine and the execution engine. This separation of reasoning and execution allows large language models to focus solely on reasoning, mitigating drawbacks such as hallucinations, data handling issues, or retrieving the latest information. KPU aims to enhance task quality and performance, addressing challenges related to large data volumes, multi-modal content, open-ended problem solving, and interactivity.

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KPU - Maisa

KPU - Maisa Visit Over Time

KPU - Maisa Visit Trend

KPU - Maisa Visit Geography

KPU - Maisa Traffic Sources

KPU - Maisa Alternatives

Buffer of Thoughts — Improves the accuracy and efficiency of large language models in reasoning

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Mistral-Large-Instruct-2407 — Advanced large language model with reasoning and programming capabilities.

Models Table — A comprehensive list and information about large language models

LLM Maybe LongLM — Extends the context window of large language models

Turtle Benchmark — Evaluating the logical reasoning and context comprehension abilities of large language models.

xLAM — Research on intelligent agents based on large language models

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