AI News – Page 290
- Researcher from Upwork Releases Nandi, Gemma-based Telugu Model
Swarna’s future endeavours include the expansion of datasets for Data Processing Ontology (DPO) in Telugu, a significant area that remains largely unexplored.
Mohit Pandey ·
- The Evolving Role of Data Scientists, from Data to Solutions
This evolution demands a broader skill set from technical to business understanding.
K L Krithika ·
- Amazon Introduces Rufus, Generative AI Shopping Assistant
It is launching today in beta will progressively roll out to additional U.S. customers in the coming weeks.
Siddharth Jindal ·
- Balancing AI Growth and Environmental Sustainability
Is AI simultaneously helping and harming the environment?
K L Krithika ·
- Food Delivery Apps Get an AI Agent
Lucastonon's repository introduces the RAG agent, showcasing its ability to effortlessly handle tasks such as looking up restaurants, opening pages, fetching menus, and adding items to the cart.
Siddharth Jindal ·
- MosaicML Announces Beyond Chinchilla-Optimal for LLM Scaling Laws in Inference
MosaicML's research highlights a critical gap in Chinchilla Scaling laws which neglects the crucial aspect of inference cost.
Mohit Pandey ·
- PyPy Shifts to GitHub
PyPy, an alternative Python interpreter, has migrated to GitHub for better visibility and community engagement.
K L Krithika ·
- PyTorch 2.2 Releases New Features like the FlashAttention-v2 and AOTInductor
PyTorch 2.2 introduces FlashAttention-v2, doubling AI processing speed, and AOTInductor for compiling in non-Python environments.
K L Krithika ·
- Telugu LLM Labs is Here with Native and Romanised Dataset
The dataset includes a romanised pre-training dataset and a supervised fine-tuning dataset in native and romanised scripts in Telugu.
Mohit Pandey ·
- Google Cloud Partners with Hugging Face for Generative AI Development
Developers can leverage compute, TPUs, and GPUs for creating generative AI applications, incorporating features like Vertex AI integration, Google Kubernetes Engine support, and Cloud TPU v5e for improved performance.
shritama.saha ·
- MG Motors Launches 'AI in Electric Mobility' Programme
The programme empowers startups and innovators by giving them a platform, encourages them to build new applications and create exciting experiences for MG and its customers.
Pritam Bordoloi ·
- Sunil Wadhwani Helps Establish School for AI and Data Science at IIT Madras
The Wadhwani School of Data Science and AI aims to be among the top 20 AI-focused schools globally, prioritising Responsible AI.
shyam.upadhyay ·
- Databricks Acquires AI-powered Data Visualisation Platform Einblick
This marks the fourth acquisition by Databricks in the past 12 months.
Siddharth Jindal ·
- OpenAI Partners With Common Sense Media to Make ChatGPT Family Friendly
Common Sense Media is a non-profit organisation that reviews digital media content for kids, ranging from movies, TV shows, books to podcasts.
Siddharth Jindal ·
- Learn to Build LLMs Using this Latest GPT
The model retrieves information from LLM Course created by Maxime Labonne.
Mohit Pandey ·
- Sam Altman to Attend Intel's Event, Indicates Venturing into AI Chips
Last week, Altman visited South Korea to meet with executives from Samsung Electronics and SK Hynix, exploring the potential for an alliance in the field of AI chips.
Siddharth Jindal ·
- Microsoft Research India Extends Deadline for Research Fellow Program Applications to Feb 16, 2024
Eligible candidates for the RF Program should have completed their BS/BE/BTech or MS/ME/MTech in Computer Science or related areas, graduating by summer 2024.
Siddharth Jindal ·
- Jio Launches ‘Jio Brain’, 5G Integrated Generative AI Service
The cloud-native platform boasts over 500 REST APIs and data APIs.
Mohit Pandey ·
- OpenAI Uses Technique Created By Indian Developers
MRL is a cool embedding representation technique that encodes information at coarse-to-fine granularities in a single vector.
Siddharth Jindal ·
- Microsoft, ETH Zurich Introduce SliceGPT For Compressing LLMs
The research demonstrates how SliceGPT efficiently reduces the size of language models by eliminating up to 25% of model parameters.
Mohit Pandey ·