Author: Janhavi Lande

Janhavi Lande
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Janhavi Lande, is an Engineering Physics graduate from IIT Guwahati, class of 2023. She is an upcoming data scientist and has been working in the world of ml/ai research for the past two years. She is most fascinated by this ever changing world and its constant demand of humans to keep up with it. In her pastime she enjoys traveling, reading and writing poems.

Meta AI introduces SPIRIT-LM: A Foundation Multimodal Language Model that Freely Mixes Text and Speech

AI Shorts
Prompting Large Language Models (LLMs) has emerged as a standard practice in Natural Language Processing (NLP) following the introduction of GPT-3. The scaling of...

Meet MouSi: A Novel PolyVisual System that Closely Mirrors the Complex and Multi-Dimensional Nature of Biological Visual Processing

AI Shorts
Current challenges faced by large vision-language models (VLMs) include limitations in the capabilities of individual visual components and issues arising from excessively long visual...

UC Berkeley Researchers Introduce SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

AI Shorts
In recent years, researchers in the field of robotic reinforcement learning (RL) have achieved significant progress, developing methods capable of handling complex image observations,...

Google AI Research Introduces GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

AI Shorts
In the enchanting world of language models and attention mechanisms, picture a daring quest to accelerate decoder inference and enhance the prowess of large...

This AI Paper from China Introduces StreamVoice: A Novel Language Model-Based Zero-Shot Voice Conversion System Designed for Streaming Scenarios

AI Shorts
Recent advances in language models showcase impressive zero-shot voice conversion (VC) capabilities. Nevertheless, prevailing VC models rooted in language models usually utilize offline conversion...

Researchers from UCLA, University of Washington, and Microsoft Introduce MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4v, BARD, and Other Large Multimodal Models

AI Shorts
Mathematical reasoning, part of our advanced thinking, reveals the complexities of human intelligence. It involves logical thinking and specialized knowledge, not just in words...

Google DeepMind Researchers Introduce GenCast: Diffusion-based Ensemble Forecasting AI Model for Medium-Range Weather

AI Shorts
You may have missed a big development in the ML weather forecasting revolution over the holidays: GenCast: Google DeepMind’s new generative model!  The importance...

Causation or Coincidence? Evaluating Large Language Models’ Skills in Inference from Correlation

AI Shorts
Understanding why things happen, known as causal inference, is a key part of human intelligence. There are two main ways we gain this ability:...

Meta AI Introduces CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

AI Shorts
There has been a significant surge in the integration of language models (LMs) into mainstream applications within the fields of software engineering and programming....

Meet Wonder3D: A Novel Artificial Intelligence Method for Efficiently Generating High-Fidelity Textured Meshes from Single-View Images

AI Shorts
Reconstructing 3D geometry from a single image represents a foundational undertaking within the domains of computer graphics and 3D computer vision, as evident in...

Revolutionizing Prenatal Diagnosis: Check Out How the PAICS Deep Learning System Enhances Detection of Fetal Intracranial Malformations from Neurosonographic Images

Uncategorized
Artificial intelligence (AI), particularly deep learning (DL), has found growing applications in the field of medical imaging and healthcare. A substantial portion of the...

Meet Llemma: The Next-Gen Mathematical Open-Language Model Surpassing Current Benchmarks

AI Shorts
Language models trained on diverse mixtures of text display remarkably general language understanding and generation capabilities, serving as base models that are adapted to...
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