Author: Tanya Malhotra

Tanya Malhotra
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Tanya Malhotra is a final year undergrad from the University of Petroleum & Energy Studies, Dehradun, pursuing BTech in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning. She is a Data Science enthusiast with good analytical and critical thinking, along with an ardent interest in acquiring new skills, leading groups, and managing work in an organized manner.

Top Open Source Large Language Models (LLMs) Available For Commercial Use

The top open source Large Language Models available for commercial use are as follows. Llama - 2 Meta released Llama 2, a set of pretrained and...

This AI Paper from Arizona State University Discusses Whether Large Language Models (LLMs) Can Reason And Plan?

Large Language Models (LLMs) are the most recent and amazing introduction in the field of Artificial Intelligence (AI). Large volumes of textual data from...

Researchers at Stanford and Databricks Open-Sourced BioMedLM: A 2.7 Billion Parameter GPT-Style AI Model Trained on PubMed Text

Natural Language Processing (NLP) has taken over the field of Artificial Intelligence (AI) with the introduction of Large Language Models (LLMs) such as OpenAI's...

This AI Paper from Intel Presents a SYCL Implementation of Fully Fused Multi-Layer Perceptrons (MLPs) on Intel Data Center GPU Max

In the field of Artificial Intelligence (AI), Multi-Layer Perceptrons (MLPs) are the foundation for many Machine Learning (ML) tasks, including partial differential equation solving,...

Alibaba Releases Qwen1.5-MoE-A2.7B: A Small MoE Model with only 2.7B Activated Parameters yet Matching the Performance of State-of-the-Art 7B models like Mistral 7B

In recent times, the Mixture of Experts (MoE) architecture has become significantly popular with the release of the Mixtral model. Diving deeper into the...

Recall to Imagine (R2I): A New Machine Learning Approach that Enhances Long-Term Memory by Incorporating State Space Models into Model-based Reinforcement Learning (MBRL)

With the recent advancements in the field of Machine Learning (ML), Reinforcement Learning (RL), which is one of its branches, has become significantly popular....

This AI Paper from China Proposes a Lightweight Machine Learning Method that Enhances Scalable Structural Inference and Dynamic Prediction Accuracy

Machine Learning (ML) has become an indispensable tool in recent years for solving a wide range of scientific and practical issues. Model-free machine learning...

DomainLab: A Modular Python Package for Domain Generalization in Deep Learning

Deep learning models have recently gained significant popularity in the Artificial Intelligence community. However, despite their great capacity, they frequently suffer from poor generalization....

Meet Jan: An Open-Source ChatGPT Alternative that Runs Completely Offline on Computer

In recent research, a team of researchers has introduced Jan, an open-source ChatGPT alternative that runs locally on the computer. The introduction of Jan...

Researchers at Microsoft Introduce Garnet: An Open-Source and Faster Cache-Store System for Accelerating Applications and Services

To meet the significantly growing need for more effective data storage options amid the swift development of interactive web apps and services, a team...

DIstributed PAth COmposition (DiPaCo): A Modular Architecture and Training Approach for Machine Learning ML Models

The fields of Machine Learning (ML) and Artificial Intelligence (AI) are significantly progressing, mainly due to the utilization of larger neural network models and...

Exploring Well-Designed Machine Learning (ML) Codebases [Discussion]

In Machine Learning (ML), where breakthroughs and innovations often happen, knowing the subtleties of well-designed codebases can be quite helpful. Recently, a Reddit post...

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