MongoDB
A flurry of welcome new MongoDB tools show how powerful AI can be for developer productivity
“One of the most precious things that any organisation has is the time of their developers"
MongoDB
“One of the most precious things that any organisation has is the time of their developers"
Citi
"Ideate and leverage Gen AI to solve cybersecurity problems at scale for Citi..."
AWS
AWS to replace Google Cloud as favoured compute platform and all future Anthropic models to be offered via Amazon Bedrock
DataStax
A groundswell of work on production generative AI applications powered by first-party data is happening, says DataStax CPO Ed Anuff. Change is coming and it is going to put pressure on enterprise data architectures.
NVIDIA
The chipmaker says it can double the speed of inference on its H100 GPUs
News
eSentire has released a security appliance for large language modules LLMs that will utilize an open source model
AI
Among the books pulled from one library are National Medal of Arts and Presidential Medal of Freedom-winner Maya Angelou's autobiography, Khaled Hosseini's "The Kite Runner" and Margaret Atwood's "The Handmaiden's Tale"
AI
It is a generous and permissive licence, but prohibits the use of Llama to “improve any other large language model; excluding Llama 2” and users must request a special commercial licence if their product's MAU exceed 700 million.
Cybersecurity
A dangerous Large Language Model trained on malware data sets is being used to launch BECs.
machine learning
Databricks has agreed the deal just weeks after releasing Dolly 2.0, a 12 billion parameter open source language model, as a battle begins for dominance of open source generative AI workflows and platforms.
AI
The idea of ‘data-centric AI’, posits that we must focus on data quality over quantity. As our algorithms have progressed, and we have access to incredible open-source LLMs to train our own models, it’s time to focus on how we engineer the data to build cost-efficient models...
AI
Create a convincing simulacrum of your CEO's voice with just a two-second voice sample. What could go wrong?