Author: Dhanshree Shripad Shenwai

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Dhanshree Shenwai is a Computer Science Engineer and has a good experience in FinTech companies covering Financial, Cards & Payments and Banking domain with keen interest in applications of AI. She is enthusiastic about exploring new technologies and advancements in today’s evolving world making everyone's life easy.

Researchers from Stanford University Propose MLAgentBench: A Suite of Machine Learning Tasks for Benchmarking AI Research Agents

AI Shorts
Human scientists can explore the depths of the unknown and make discoveries requiring various undetermined choices. Armed with the body of scientific knowledge at...

Meet Mistral-7B-v0.1: A New Large Language Model on the Block

AI Shorts
Mistral-7B-v0.1 is one of the most recent advancements in artificial intelligence (AI) for large language models (LLMs). Mistral AI's latest LLM is one of...

In a New AI Paper, CMU and Google Researchers Redefine Language Model Outputs: How Delaying Responses with Pause Tokens Boosts Performance on QA and...

AI Shorts
Tokens are generated in rapid succession using causal language models based on transformers. The model takes in the K preceding tokens and then iteratively...

Meet SynthIA (Synthetic Intelligent Agent) 7B-v1.3: A Mistral-7B-v0.1 Model Trained on Orca Style Datasets

Editors Pick
SynthIA-7B-v1.3 is a seven-billion-parameter large language model (LLM). It is actually Mistral-7B-v0.1 model trained on Orca-style datasets and is now proficient at following directions...

Meta AI Researchers Propose Advanced Long-Context LLMs: A Deep Dive into Upsampling, Training Techniques, and Surpassing GPT-3.5-Turbo-16k’s Performance

AI Shorts
The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. These models, trained on vast amounts of data and...

How Can We Elevate the Quality of Large Language Models? Meet PIT: An Implicit Self-Improvement Framework

AI Shorts
LLMs have achieved state-of-the-art results in various complex tasks, such as math reasoning, summarization, conversations, schema induction, and domain-specific problem-solving. The success of LLMs...

Mistral AI Open-Sources Mistral 7B: A Small Yet Powerful Language Model Adaptable to Many Use-Cases

AI Shorts
Language Models (LLMs) represent a category of artificial intelligence systems capable of generating and comprehending text. These models undergo training on extensive datasets consisting...

CMU Researchers Introduce the Open Whisper-Style Speech Model: Advancing Open-Source Solutions for Efficient and Transparent Speech Recognition Training

AI Shorts
Natural language processing (NLP) has paid much attention to large-scale Transformers. These models, trained on large datasets, have demonstrated amazing emergent abilities in various...

This Web Highlighter Tool Lets You Mark Content Directly on iPhone’s Browser

Uncategorized
Galsp, a new app available for iOS and Android, allows users to bookmark and store web content directly from their mobile devices. This is...

Microsoft Introduces Copilot: Your Everyday AI Companion Seamlessly Integrated Across Windows 11, Microsoft 365, Edge, and Bing

AI Shorts
We are already in a new era of artificial intelligence, which will have far-reaching consequences for our interactions using technological devices. Now that chat...

Amazon Researchers Introduce DistTGL: A Breakthrough in Scalable Memory-Based Temporal Graph Neural Networks for GPU Clusters

AI Shorts
Numerous real-world graphs include crucial temporal domain data. Both spatial and temporal information are crucial in spatial-temporal applications like traffic and weather forecasting. Researchers have...

Researchers from Apple and EPFL Introduce the Boolformer Model: The First Transformer Architecture Trained to Perform End-to-End Symbolic Regression of Boolean Functions

AI Shorts
The optimism that deep neural networks, particularly those based on the Transformer design, will speed up scientific discovery stems from their contributions to previously...
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