A Chat With Citi Ventures’ Matt Carbonara On Enterprise Software And LLMs
In a conversation with Matt Carbonara, we explored the evolving world of enterprise software, especially the impact of large ...
How open-source LLMs enable security teams to stay ahead of evolving threats
Open-source large language models (LLMs) continue to revolutionize the cybersecurity landscape, serving as a strong catalyst ...
Psychology Today1d
Beyond Imitation: Exploring the Cognitive Exegesis of LLMs
LLMs engage in "cognitive exegesis," adapting to our learning needs and offering instant, nuanced insights that redefine how ...
LLMs Are Impressive, But There's Room For More
The future of LLMs lies in their ability to evolve—moving beyond generic solutions to offer deeper understanding, greater ...
DeepMind’s SCoRe shows LLMs can use their internal knowledge to correct their mistakes
Sometimes, the LLMs have the internal knowledge to self-correct their responses. They just need the right training technique ...
How Kapa uses LLMs to help companies answer users’ technical questions reliably
Kapa.ai is using LLMs to build AI assistants capable of answering complex questions for developers and software end-users.
Splunk Urges Australian Organisations to Secure LLMs
Prompt injection and data leakage are among the top threats posed by LLMs, but they can be mitigated using existing security ...
Psychology Today5d
The Improvisational Nature of LLMs and Human Thought
LLMs, much like jazz, transform thought into an improvisational art, where structured knowledge and spontaneous ideas riff ...
State-owned China Telecom has trained domestic AI LLMs using homegrown chips — one model reportedly uses 1 trillion parameters
State-owned China Telecom claims to have trained two LLMs—one with a 100-billion parameter and another with one ...
Data Science Evolution: Abandoning Naive Models For LLMs To Enhance Performance
In the vanguard of data privacy and analytics, Siddhartha Nuthakki stands out as a paragon of excellence and innovation as ...
The more sophisticated AI models get, the more likely they are to lie
Human feedback to AIs makes them favor providing an answer, even a wrong one, while making the answer more convincing.