Dear @MamataOfficial@CMOfficeWB The road condition in Saltlake, Kolkata is in very poor state for years. Can you please help to intervene. Somehow it gives an impression of a bankrupt municipality. Your action and help may make Saltlake great again!
@AshwiniVaishnaw Reflects very very poorly towards the Viksit bharat 2047. How do we bring order and bring civic sense? Build of AI solutions for crowd management, traffic management..How do we make citizens learn about civic sense on one hand and how do we bring in real-time good governance?
@narendramodi Reflects very very poorly towards the Viksit bharat 2047. How do we bring order and bring civic sense? Build of AI solutions for crowd management, traffic management..How do we make citizens learn about civic sense on one hand and how do we bring in real-time good governance?
I am unable to accept the absence of Ratan Tata.
India’s economy stands on the cusp of a historic leap forward.
And Ratan’s life and work have had much to do with our being in this position.
Hence, his mentorship and guidance at this point in time would have been invaluable.
With him gone, all we can do is to commit to emulating his example. Because he was a businessman for whom financial wealth and success was most useful when it was put to the service of the global community.
Goodbye and Godspeed, Mr. T
You will not be forgotten.
Because Legends never die…
Om Shanti
🙏🏽
🚀 Below is a short video on building a vector database from scratch using rust.
https://t.co/ZpKAHD3E58
A long form video is due. Until then, find the github repo in the comments section.
https://t.co/lVAKgjPCnC
I was curious💡 to explore the internals of vector databases and that’s when I attempted to implement 🛠️ a super simple vector db (code-named 'GangDB').
I developed using 🦀 Rust(for its type safety and enhanced memory management) and applied cosine similarity on a K-D tree(3/4)
This is achieved by having an efficient storage and fast retrieval of vector embeddings.🧩Vector embeddings are numerical representations of unstructured data. The models by itself cannot understand unstructured data and therefore the need for numerical representations.(2/4)
⏳Want to perform semantic search on your data based on the context of your domain or you want to build a recommendation engine for your users involving unstructured data? And, you are wondering how to apply long term memory for your chosen Large multimodal models (LMM)? (1/4)
@LinkedInHelp please help. Account restriction has been put for my account. Can’t make out why. DMed you with both account email id and case number, but no response 🙁. Please help to activate the account.
IBM Consulting is transforming modern business with speed, empathy, and creativity. Read more from Mark Foster, SVP of #IBMConsulting: https://t.co/v0yJaPCzx4
Scalable cloud-native business platforms needs distributed event streaming. I just published the first episode of a multi-region distributed streaming architecture with AMQStreams on ROSA(Redhat OpenShift on AWS)
watch it here:
https://t.co/muYtG3b1z6
via @YouTube
(3/3) Couple of chapters that I loved exploring with hands-on step-by-step guidance were chapter 6 - where Javascript and Node.js interoperability were demonstrated in detail and the second one was chapter 9 - where SpringBoot, Quarkus, Micronaut was used to build Microservices
@abvijaykumar#book https://t.co/tSLoHryRLV
(2/3) While section 2 goes in-depth of elucidating the GraalVM architecture, chapters 4 and 5 really goes under the hood with a hands-on run-through of the Graal JIT and ahead of time compliers.
@abvijaykumar welcomes all to the world of GraalVM with his new book https://t.co/tSLoHryRLV
It is a perfect T-shaped book that has gone deep into the Whys & Hows of GraalVM and at the same time provided a broad view on how Microservices can be implemented with GraalVM (1/2)