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Jaxon receives $100,000 START award
MassVentures
2022 DoD Digital and Artificial Intelligence Symposium
CDAO
Jaxon CEO Scott Cohen on the UNCAGED Show
UNCAGED
101 Most Innovative Boston-Based ML Companies
Futurology
Jaxon CEO Scott Cohen presented at MIT's 2021 Digital Startups
MIT ILP
Jaxon CEO Scott Cohen was on the 2-Minute Drill
Dave Meltzer's 2-Minute Drill
Jaxon CEO Scott Cohen discusses the origins of Jaxon
Jaxon
Jaxon accepted into MassChallenge Switzerland
MassChallenge
Jaxon CEO Scott Cohen on AWS Innovate Speaker Panel
AWS
Jaxon selected as 2020 Startup of the Year
Startup of the Year
Strategy-IoT interviews Jaxon CEO Scott Cohen
Strategy-IoT
Jaxon CEO Scott Cohen is presenting at MIT's Transforming Retail
MIT ILP
Jaxon accepted into MassChallenge US Air Force Lab
MassChallenge
Jaxon accepted into Plug and Play Insurtech
Plug and Play
Jaxon accepted into MIT's Stex25
MIT
Jaxon wins startup competition at ACT-IAC Reimagine Nation
ACT-IAC
Jaxon accepted into Creative Destruction Lab AI Stream
MIT
From the Blog
AI Doesn’t Understand, It Predicts: The Symphony of Sequences
AI hallucinations occur because large language models (LLMs) like GPT generate text by predicting the most likely sequence of words
The Power of Semantic Chunking in AI: Unlocking Contextual Understanding
In the evolving world of AI, semantic chunking has emerged as a powerful technique to improve machine comprehension of human
Determinism in AI: Navigating Predictability and Flexibility
The concept of determinism plays a pivotal role in shaping how we develop, deploy, and trust AI systems. At Jaxon,
17 Ways AI is Revolutionizing Financial Services
In the fast-paced world of financial services, staying ahead of the curve is essential. AI-driven technologies are transforming the landscape,
RAG is NOT Enough
The Limitations of the RAG Technique in Addressing Hallucinations in Large Language Models In recent years, the development of Large
LLMs Are Sequence-Based: Limited to Pattern Recognition
Effective use of generative AI is being blocked by the so-called “hallucination problem”, when Large Language Models (LLMs) make inaccurate
