Expert in solving business problems with technology especially for enterprises - currently solution architect at MongoDB guiding customers in data management
🧠What is a "cognitive architecture"?
This is a term we've been using a bunch recently. All credit for coming up with it goes to @Altimor
We tried to write down a bit what exactly we mean by this & how to think about and explore different options here
https://t.co/az589jwCDO
🧠What is a "cognitive architecture"?
This is a term we've been using a bunch recently. All credit for coming up with it goes to @Altimor
We tried to write down a bit what exactly we mean by this & how to think about and explore different options here
https://t.co/az589jwCDO
Really nice to see @Retool in its survey on the state of #AI to find that the @MongoDB Atlas cloud service has the best NPS scores for its #vectorsearch features and is the 2nd most deployed #vectordatabase
https://t.co/odgIYI7wWp #GenAI#LLM#AIML
We've added a ton of cutting-edge advancements in #UnityCatalog: #Lakehouse Federation, Governance for AI (including Model Registry), AI-powered Governance (Lakehouse Monitoring, Lakehouse Observability) & more!
Get a full breakdown here ⬇️
https://t.co/Nmupr8hdbF
@Databricks beefing up its ability to help customers with creating their own #LLMs for #GenAI - nice combination of #opensource driven companies #AIML#data https://t.co/HfvzMUznDr
Nice preview of @MongoDB's biggest #mongodblocal event of the year in NYC this Thu Jun 22, to showcase MDB as the foundation for the next generation of apps including for #GenAI#appdev#databases https://t.co/UlbTxIY2d2
I had the thought of whether #LLMs could give a jumpstart in building #personalization without training a model, and apparently there are many posts on #zeroshot#recommendationsystems. This seems like the future, using prebuilt LL…https://t.co/gi9y3H9nKg https://t.co/zW89Jsucc3
@EdenEmarco177@langchain@hwchase17 Could approaching it this way for arbitrarily large quantities of text be reasonably accurate? The mapper would return the nearest vector for each block of text and the reducer would find the midpoint of all the vectors
Good reminder from @TechCrunch to stay focused on the many near-term risks of #ai plus the #extinction ones
"This drumbeat of hysterical headlines has arguably distracted attention from deeper scrutiny of existing harms. Such as…https://t.co/QrZdAnmJqd https://t.co/F8YSBms2NI
Certainly novel to use #LLMs to explain other LLMs - at least good to see focus on explaining the models as that will be necessary to justify otherwise black box decisions #AIML might make
https://t.co/KYhmBbbXzJ #openai https://t.co/nYTvmCvQKZ
My humble colleague @mjasay@mjasay announcing he might have been wrong and the #AI singularity is [80%] here. Human + AI gives massive productivity for #appdev when you look at benefits across the SDLC, for writing first draft cod…https://t.co/wW2P6A4FoO https://t.co/WC4I4KMLg6