AI Features – Page 123
- Will Banks Embrace GPTNEXT Over ChatGPT Enterprise?
BUSINESSNEXT is working on a B2B wrapper platform called GPTNEXT for banks, globally – will it survive the ChatGPT Enterprise prowess?
Siddharth Jindal ·
- Scrum is Not Agile Enough
As Scrum's downsides emerge, engineers question its efficacy. The era of Scrum Masters may be fading, welcoming new Agile approaches
K L Krithika ·
- AI Alignment is a Joke
In many cases, uncensored models that do not go through the RLHF phase actually perform better than aligned models
Mohit Pandey ·
- Semicon India 2023 Gives Shape to India's Chip Ambitions
At the event, Vedanta chairman Anil Agarwal revealed that his company is in talks with a ‘world-class’ technology partner
Pritam Bordoloi ·
- Internal Drama Unveiled: A Behind-the-Scenes Look at Rust
Amidst bureaucratic issues at the Rust Foundation, the open-source community has created its own fork of the programming language, endearingly called Crab.
Anirudh VK ·
- Spark vs Presto: Unleashing the Power of Data
Although both Spark and Presto are preferred by companies because of similar similar offerings, they come with their own share of differences.
shritama.saha ·
- Bigger is Not Always Better
The debate about making language models larger or smaller never ends. It probably should now.
Mohit Pandey ·
- Open Source Opens Funds for Semiconductor in India
RISC-V and ChipIn have brought in a lot of deep-tech investors to the semiconductor industry
Mohit Pandey ·
- ChatGPT Craves Human Expertise
Looks like RLHF was not enough human interaction for OpenAI’s ChatGPT, which now craves more
vandana.nair ·
- How Axis Bank is Driving Distinctive Advantage through Analytics
Axis Bank strongly promotes data culture to survive in this highly competitive and digital world where decision-making is driven not just by past experiences or a gut feeling but backed up by the underlying data.
poulomi.chatterjee ·
- John Oliver’s AI Rant Continues
Oliver said the problem is AI is “stupid in ways we can’t always predict”
tasmia.ansari ·
- ‘Attention is All You Need’ Gets No Attention
What are ‘Attention is All You Need’ authors doing right now – everything about the thinkers, doers, and quitters
tasmia.ansari ·
- GrapheneOS Cares for Your Privacy, Android Not So Much
Google’s preinstalled apps pose a security risk, but there’s hope
Anirudh VK ·
- Behind the Scenes: What is Swiggy Hungry For?
“We have a mechanism called continuous data capture that allows us to continuously replicate the production state into our data warehousing boundaries”
Pritam Bordoloi ·
- Computer Vision Trends That will Dominate the Industry
There is a lot that the eyes of the machine can see
Mohit Pandey ·
- The Curious Case of Linux: It's for Everyone, but Nobody Uses it
Linux is one of the cornerstones of the developer ecosystem, but the powerful operating system has not broken into the mainstream as of yet
Anirudh VK ·
- What Excites Yoshua Bengio about the Future of Generative AI
GANs gave deep learning models something they didn’t have before – imagination
poulomi.chatterjee ·
- Chip Ban: What Doesn’t Kill China, Makes it Stronger. US, Are You Listening?
The latest salvo by the US in its trade war might lead to another Chinese victory
Anirudh VK ·
- Council Post: Computer vision journey from “proof of concept” to “production”
The focus of PoC is inclined towards evaluating the algorithm on a sample dataset. This approach is understandable, considering the core of any computer vision solution is algorithm and data scientists want to validate the algorithm feasibility upfront. But, during the PoC, it is also equally important to realise how these algorithms are going to work in the production environment on real-life data.
Swaroop.Shivaram ·
- Are LLMs A Detour From Achieving Human-like Intelligence?
While the current lot of models are perfect black boxes, they lack crucial elements like cognition and understanding
Ayush Jain ·