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Posts tagged Hallucinations
A Framework to Detect & Reduce LLM Hallucinations
Learn about how to identify and detect LLM hallucinations
Webinar - Deeplearning.ai + Galileo - Mitigating LLM Hallucinations
Join in on this workshop where we will showcase some powerful metrics to evaluate the quality of the inputs (data quality, RAG context quality, etc) and outputs (hallucinations) with a focus on both RAG and fine-tuning use cases.
5 Techniques for Detecting LLM Hallucinations
A survey of hallucination detection techniques
Galileo Luna: Breakthrough in LLM Evaluation, Beating GPT-3.5 and RAGAS
Research backed evaluation foundation models for enterprise scale
Mastering RAG: 8 Scenarios To Evaluate Before Going To Production
Learn how to Master RAG. Delve deep into 8 scenarios that are essential for testing before going to production.
A Metrics-First Approach to LLM Evaluation
Learn about different types of LLM evaluation metrics needed for generative applications
Mastering RAG: LLM Prompting Techniques For Reducing Hallucinations
Dive into our blog for advanced strategies like ThoT, CoN, and CoVe to minimize hallucinations in RAG applications. Explore emotional prompts and ExpertPrompting to enhance LLM performance. Stay ahead in the dynamic RAG landscape with reliable insights for precise language models. Read now for a deep dive into refining LLMs.
LLM Hallucination Index: RAG Special
The LLM Hallucination Index ranks 22 of the leading models based on their performance in real-world scenarios. We hope this index helps AI builders make informed decisions about which LLM is best suited for their particular use case and need.
Webinar – Galileo Protect: Real-Time Hallucination Firewall
We’re excited to announce Galileo Protect – an advanced GenAI firewall that intercepts hallucinations, prompt attacks, security threats, and more in real-time! Register for our upcoming webinar to see Protect live in action.
Introducing Galileo Protect: Your Real-Time Hallucination Firewall
We're thrilled to unveil Galileo Protect, an advanced GenAI firewall solution that intercepts hallucinations, prompt attacks, security threats, and more in real-time.
Understanding LLM Hallucinations Across Generative Tasks
The creation of human-like text with Natural Language Generation (NLG) has improved recently because of advancements in Transformer-based language models. This has made the text produced by NLG helpful for creating summaries, generating dialogue, or transforming data into text. However, there is a problem: these deep learning systems sometimes make up or "hallucinate" text that was not intended, which can lead to worse performance and disappoint users in real-world situations.
Mastering RAG: Advanced Chunking Techniques for LLM Applications
Learn advanced chunking techniques tailored for Language Model (LLM) applications with our guide on Mastering RAG. Elevate your projects by mastering efficient chunking methods to enhance information processing and generation capabilities.
Paper - Galileo ChainPoll: A High Efficacy Method for LLM Hallucination Detection
ChainPoll: A High Efficacy Method for LLM Hallucination Detection. ChainPoll leverages Chaining and Polling or Ensembling to help teams better detect LLM hallucinations. Read more at rungalileo.io/blog/chainpoll.
5 Key Takeaways From President Biden’s Executive Order For Trustworthy AI
Explore the transformative impact of President Biden's Executive Order on AI, focusing on safety, privacy, and innovation. Discover key takeaways, including the need for robust Red-teaming processes, transparent safety test sharing, and privacy-preserving techniques.
Webinar - Fix Hallucinations in RAG Systems with Pinecone and Galileo
Watch our webinar with Pinecone on optimizing RAG & chain-based GenAI! Learn strategies to combat hallucinations, leverage vector databases, and enhance RAG analytics for efficient debugging.
Webinar - Announcing Galileo LLM Studio: A Smarter Way to Build LLM Applications
Webinar - Announcing Galileo LLM Studio: A Smarter Way to Build LLM Applications
RAG Vs Fine-Tuning Vs Both: A Guide For Optimizing LLM Performance
A comprehensive guide to retrieval-augmented generation (RAG), fine-tuning, and their combined strategies in Large Language Models (LLMs).
Mastering RAG: Improve RAG Performance With 4 Powerful RAG Metrics
Unlock the potential of RAG analysis with 4 essential metrics to enhance performance and decision-making. Learn how to master RAG methodology for greater effectiveness in project management and strategic planning.
Survey of Hallucinations in Multimodal Models
An exploration of type of hallucinations in multimodal models and ways to mitigate them.
Best LLMs for RAG: Top Open And Closed Source Models
Top Open And Closed Source LLMs For Short, Medium and Long Context RAG
Introducing the Hallucination Index
The Hallucination Index provides a comprehensive evaluation of 11 leading LLMs' propensity to hallucinate during common generative AI tasks.
Working with Natural Language Processing?
Read about Galileo’s NLP Studio
