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fine-tuning-llama-3.2-3b-instruct-for-python-code:-a-comprehensive-guide-with-unsloth

Fine-Tuning Llama 3.2 3B Instruct for Python Code: A Comprehensive Guide with Unsloth

Source: MarkTechPost In this tutorial, we’ll walk through how to set up and perform fine-tuning on the Llama...
Feb 4, 2025
deep-agent-released-r1-v:-reinforcing-super-generalization-in-vision-language-models-with-cost-effective-reinforcement-learning-to-outperform-larger-models

Deep Agent Released R1-V: Reinforcing Super Generalization in Vision-Language Models with Cost-Effective Reinforcement Learning to Outperform Larger Models

Source: MarkTechPost Vision-language models (VLMs) face a critical challenge in achieving robust generalization beyond their training data while...
Feb 4, 2025
nyu-researchers-introduce-wildchat-50m:-a-large-scale-synthetic-dataset-for-efficient-llm-post-training

NYU Researchers Introduce WILDCHAT-50M: A Large-Scale Synthetic Dataset for Efficient LLM Post-Training

Source: MarkTechPost Large language model (LLM) post-training focuses on refining model behavior and enhancing capabilities beyond their initial...
Feb 4, 2025
zep-ai-introduces-a-smarter-memory-layer-for-ai-agents-outperforming-the-memgpt-in-the-deep-memory-retrieval-(dmr)-benchmark

Zep AI Introduces a Smarter Memory Layer for AI Agents Outperforming the MemGPT in the Deep Memory Retrieval (DMR) Benchmark

Source: MarkTechPost The development of transformer-based large language models (LLMs) has significantly advanced AI-driven applications, particularly conversational agents....
Feb 4, 2025
google-deepmind-researchers-unlock-the-potential-of-decoding-based-regression-for-tabular-and-density-estimation-tasks

Google DeepMind Researchers Unlock the Potential of Decoding-Based Regression for Tabular and Density Estimation Tasks

Source: MarkTechPost Regression tasks, which involve predicting continuous numeric values, have traditionally relied on numeric heads such as...
Feb 4, 2025
from-softmax-to-ssmax:-enhancing-attention-and-key-information-retrieval-in-transformers

From Softmax to SSMax: Enhancing Attention and Key Information Retrieval in Transformers

Source: MarkTechPost Transformer-based language models process text by analyzing word relationships rather than reading in order. They use...
Feb 4, 2025
university-of-bath-researchers-developed-an-efficient-and-stable machine-learning-training-method-for-neural-odes-with-o(1)-memory-footprint

University of Bath Researchers Developed an Efficient and Stable Machine Learning Training Method for Neural ODEs with O(1) Memory Footprint

Source: MarkTechPost Neural Ordinary Differential Equations are significant in scientific modeling and time-series analysis where data changes every...
Feb 4, 2025
neural-spacetimes-(nsts):-a-class-of-trainable-deep-learning-based-geometries-that-can-universally-represent-nodes-in-weighted-directed-acyclic-graphs-(dags)-as-events-in-a-spacetime-manifold

Neural SpaceTimes (NSTs): A Class of Trainable Deep Learning-based Geometries that can Universally Represent Nodes in Weighted Directed Acyclic Graphs (DAGs) as Events in a Spacetime Manifold

Source: MarkTechPost Directed graphs are crucial in modeling complex real-world systems, from gene regulatory networks and flow networks...
Feb 4, 2025
top-ai-coding-agents-in-2025

Top AI Coding Agents in 2025

Source: MarkTechPost AI-powered coding agents have significantly transformed software development in 2025, offering advanced features that enhance productivity...
Feb 3, 2025
anthropic-introduces-constitutional-classifiers:-a-measured-ai-approach-to-defending-against-universal-jailbreaks

Anthropic Introduces Constitutional Classifiers: A Measured AI Approach to Defending Against Universal Jailbreaks

Source: MarkTechPost Large language models (LLMs) have become an integral part of various applications, but they remain vulnerable...
Feb 3, 2025
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