Biostate AI Raises $12M Series A to Train the ChatGPT of Molecular Medicine
Source: Unite.AI Biostate AI, a molecular diagnostics startup combining next-generation RNA sequencing (RNAseq) with generative AI, announced today...
Radha Basu, CEO and Founder of iMerit – Interview Series
Source: Unite.AI Radha Basu, Founder and CEO of iMerit has built her career at HP, spending 20 years...
Opening the Black Box on AI Explainability
Source: Unite.AI Artificial Intelligence (AI) has become intertwined in almost all facets of our daily lives, from personalized...
Avoiding Gen AI Pilot Fatigue: Leading with Purpose
Source: Unite.AI We’ve seen this story before: disruptive technology captures the imagination of business leaders across industries, promising...
Why Are AI Chatbots Often Sycophantic?
Source: Unite.AI Are you imagining things, or do artificial intelligence (AI) chatbots seem too eager to agree with...
Enhancing Language Model Generalization: Bridging the Gap Between In-Context Learning and Fine-Tuning
Source: MarkTechPost Language models (LMs) have great capabilities as in-context learners when pretrained on vast internet text corpora,...
Researchers from Renmin University and Huawei Propose MemEngine: A Unified Modular AI Library for Customizing Memory in LLM-Based Agents
Source: MarkTechPost LLM-based agents are increasingly used across various applications because they handle complex tasks and assume multiple...
CivitAI in New Payment Provider Crisis, as Trump Signs Anti-Deepfake Act
Source: Unite.AI President Trump has now signed the Take It Down Act, criminalizing sexual deepfakes at a federal...
Meta Introduces KernelLLM: An 8B LLM that Translates PyTorch Modules into Efficient Triton GPU Kernels
Source: MarkTechPost Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating...
A Step-by-Step Coding Guide to Efficiently Fine-Tune Qwen3-14B Using Unsloth AI on Google Colab with Mixed Datasets and LoRA Optimization
Source: MarkTechPost Fine-tuning LLMs often requires extensive resources, time, and memory, challenges that can hinder rapid experimentation and...