Factool Alternatives
Similar projects and alternatives to factool based on common topics and language
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hallucination-leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
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selfcheckgpt
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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RefChecker
RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.
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AI
Explore the forefront of AI innovation with this dedicated repository, housing cutting-edge examples and implementations. Dive into the latest advancements, stay ahead with groundbreaking applications, and harness the power of state-of-the-art models and techniques. Elevate your understanding of artificial intelligence through hands-on work (by vishalmysore)
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haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
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odin-slides
This is an advanced Python tool that empowers you to effortlessly draft customizable PowerPoint slides using the Generative Pre-trained Transformer (GPT) of your choice. Leveraging the capabilities of Large Language Models (LLM), odin-slides enables you to turn the lengthiest Word documents into well organized presentations.
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chatarena
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
factool reviews and mentions
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How to Detect AI Hallucinations
FACTOOL is a task and domain-agnostic framework designed to tackle the escalating challenge of factual error detection in generative AI. It is a five-step tool-augmented framework that consists of claim extraction, query generation, tool querying, evidence collection, and verification. FACTOOL uses tools like Google Search, Google Scholar, code interpreters, Python, and even LLMs themselves to detect factual errors in knowledge-based QA, code generation, math problem solving, and scientific literature review writing. It outperforms all other baselines across all scenarios and is shown to be highly robust in performing its specified tasks compared to LLMs themselves.
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GAIR-NLP/factool is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of factool is Python.
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