FeaturedHallucination
Vectara launches the open source Hughes Hallucination Evaluation Model (HHEM) and uses it to compare hallucination rates across top LLMs including OpenAI, Cohere, PaLM, Anthropic’s Claude 2 and more.
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Blog - page 14
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Natural Language will be the Dominant Computer Language of the Next Decade
Large language models are ushering a new future for using natural language to interact with computing systems. Simple natural language interfaces may be at the core of almost all future human computer interactions presenting new possibilities to create applications, art, and stories and surface interesting content and perspectives.
Stop Stopping
Stopwords have been used in keyword search systems for decades. However, stopwords have become unreliable sources of information in different semantic search contexts often resulting in diminished search relevance and system performance.
3 ways LLM-powered search transforms the customer experience
Natural language processing can ease common frustrations while delivering relevant answers and unexpected insights.
Using metadata to enhance your search experience
This blog post describes different patterns for using metadata fields within Vectara, gives a real world example, and provides several code samples so you can learn how to improve the discovery of your data and apply Vectara in a variety of use cases beyond the search box.
How Conversica delivers Conversation Automation with neural networks
Conversica delivers Conversation Automation solutions powered by neural networks to help people engage in authentic two-way conversations, get meaningful answers, and enjoy a delightful customer experience.
Meet Vectara: powerful, free LLM-powered search
We’re in a transformative moment in computer science. AI breakthroughs like GPT-3, Copilot, DALL-E and Stable Diffusion are changing how computers understand, interpret, and interact with human language
Semantic search helps chatbots answer more questions
Not too long ago, chatbots and assistants didn’t work well. The ones that did, like Amazon Alexa, were developed by companies with enormous R&D budgets and specialized ML and NLP…
The High Cost of Keyword Search
Semantic search, based on deep neural networks, is changing information retrieval.
What is reranking and why does it matter?
Neural rerankers are powerful models for fine-tuning search results and making the top results even better, no matter what the underlying ranking algorithm is.
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