Following article is the first part in series dedicated to RAG and model Fine-tuning. Part 2,…
Category: AI / ML
The AI / ML category highlights the latest in artificial intelligence and machine learning. It covers advancements, challenges, and practical uses. Articles explore leading tech companies’ innovations. They discuss models that redefine performance, accuracy, and efficiency. A focus lies on the ethics and safety of large language models. It underscores the need for safe testing and deployment. Practical AI applications range from data preprocessing to code generation. They also cover uses in digital personal assistants. The category sheds light on AI’s enhanced reasoning and its limitations. There’s an emphasis on methods to improve AI training. The broader societal impacts of AI are also discussed. This includes decision-making, vulnerabilities, and shifts in traditional workflows.
Robot’s Final Act: The Gumi City Staircase Incident
In a curious and somewhat disturbing event from South Korea, a city council robot reportedly “committed…
Meta’s LLM Compiler: Transforming Code Optimization with AI
Meta recently introduced its Large Language Model (LLM) Compiler, a suite of advanced open-source models that…
CriticGPT: Enhancing AI Accuracy with Smarter Error Detection
OpenAI has introduced a new AI model called CriticGPT, designed to identify errors in responses generated…
Gemma 2: Google DeepMind’s New Open-Source AI Models Pack a Punch
Google DeepMind has just dropped a bombshell in the world of open-source AI with the release…
Enhancing AI Collaboration: Unveiling the Mixture of Agents (MoA) Approach
In the ever-evolving landscape of AI, the newly introduced Mixture of Agents (MoA) represents a significant…
10% and Rising: Measuring ChatGPT’s Quiet Influence on Research
A new study published on arXiv has uncovered the dramatic and unprecedented impact of large language…
Meet Claudette: Simplifying AI Integration with Anthropic’s SDK
Anthropic has recently enhanced its offerings in the AI language model domain with the launch of…
Claude 3.5 Sonnet: Anthropic’s AI Powerhouse Outshines Rivals
Anthropic is setting a brisk pace in the AI landscape with its latest innovation, Claude 3.5…
NumPy 2.0: Streamlined API and Major Changes for Developers
NumPy 2.0 marks its first major update since 2006, introducing a streamlined API, a new module…
Goldfish Loss: A New Approach to Training Privacy-Conscious Language Models
Large language models (LLMs), like those used for AI-driven text generation, often risk violating privacy and…
DeepSeek Coder V2 Outperforms GPT-4 Turbo in Coding and Math Benchmarks
Chinese AI startup DeepSeek recently unveiled DeepSeek Coder V2, an open-source code language model that has…
Nemotron-4: NVIDIA’s New AI Model Family Pioneers Synthetic Data Use
NVIDIA has unveiled its latest AI model family, Nemotron-4 340B, which includes variants such as Nemotron-4-340B-Base,…
Mastering AI Communication: A Unified Framework for Prompt Engineering
Generative Artificial Intelligence (GenAI) systems have become integral to various sectors, facilitated through prompt engineering—a method…
Decoding GPT: How a Spreadsheet Unveiled the Secrets of AI Transformers
Exploring the intricacies of Generative Pre-trained Transformers (GPT) can be a complex task, but a creative…
When AI Learns to Lie: Unveiling Deception in Large Language Models
Recent studies have raised concerns about the capacity of large language models (LLMs) to deceive humans…
Mistral Shakes Up AI Industry with Innovative Fine-Tuning on La Plateforme
Transform 2024 is set to convene over 400 enterprise leaders in San Francisco this July, focusing…
Unveiling Gen AI 2.0: The Evolution of Foundation Models Beyond Language
The landscape of generative AI is rapidly evolving, with significant advancements in foundation models (FMs) that…