Rationale. NER tools are at the heart of how the scientific community is solving LLM issues using GraphRAG and NodeRAG architectures. LLMs need knowledge graphs to control hallucinations and make them more solid for enterprise-level use. And knowledge graphs are built...
As described in our previous post “Using Public Corpora to Build Your NER systems”, we are going to highlight areas where public datasets like OntoNotes or CoNLL can be improved. We will provide some tips on how to avoid these issues, whenever possible, using...
The Semantic Gap in Today’s Governance Platforms Forrester’s evaluations show that, despite strong advances in automation and lineage, many platforms underperform on semantic depth. Collibra: strong in workflows and policy management, but AI-driven semantic...
Verticalizing AI21’s Jamba 1.5 with Bitext Synthetic Text Efficiency and Benefits of Verticalizing LLMs – The Case of Jamba 1.5 Mini The verticalization of Large Language Models (LLMs) is transforming the way businesses implement AI-based solutions. By adapting...
Technological Alchemy: Using GPT in CX According to Blake Morgan, a CX expert, ChatGPT has major flaws that prevent it from becoming a useful tool in industries like Customer Experience. In, Cons Of ChatGPT For Customer Experience, an article recently published in...
Hailed as the future of business, or even the future of humanity, Large Language Models (LLMs) like GPT-3.5, LLaMa V2, MPT, and Falcon can quickly generate text that is uncannily human-like. A cynic might say, “But so can humans.” No matter how cynical you are,...
Recent Comments