A Deep Dive into Chain of Draft Prompting
Chain of Draft (CoD) optimizes LLM efficiency by reducing verbosity while maintaining accuracy. It cuts
Artificial Intelligence Trends - Explore Our Blogs
Mastering Multi-Head Latent Attention
DeepSeek’s MLA reduces KV cache memory via low-rank compression and decoupled positional encoding, enabling efficient
Building Agentic AI Applications using OpenAI Agents SDK
OpenAI’s Agents SDK enables efficient multi-agent workflows with context, tools, handoffs, and monitoring.
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
Step-Video-T2V for Text to Video Generation
Step-Video-T2V, a cutting-edge text-to-video model with 30B parameters, enhances video quality using Video-VAE, Video-DPO, and
Advancing Multilingual Text Embeddings through Nomic Embed Text V2
Nomic Embed Text V2 revolutionizes text embeddings with Mixture-of-Experts (MoE), enhancing efficiency, multilingual support, and
How DeepSearch Accelerates Question-Answering in LLMs?
DeepSearch revolutionizes question-answering in LLMs, enhancing precision, completeness, and efficiency in information retrieval.
Intelligent Document Processing with No-Code LLM Platform Unstract
Unstract automates document processing with AI, reducing manual effort, errors, and costs.
What is Temporally Adaptive Interpolated Distillation (TAID)?
TAID enhances LLM distillation by dynamically interpolating student-teacher distributions, solving capacity gaps and mode collapse.
Implementing DeepSeek-R1 Locally through Llama.cpp
DeepSeek’s R1 model revolutionizes AI reasoning, balancing reinforcement learning with structured training techniques.
A Guide to AISuite for Multi-LLM Integration
AISuite provides a unified API for interacting with multiple LLM providers, enabling seamless model switching.
Mastering Long Context AI through MiniMax-01
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for
Mastering Universal Jailbreak Defenses using Constitutional Classifiers
Constitutional Classifiers provide a robust framework to defend LLMs against universal jailbreaks, leveraging adaptive filtering
Marru(convert): Structure Data Creation from Unstructured Text for Fine-tuning Large Language Models in Indian Languages
Author(s): Mohamed Azharudeen M, Balaji Dhamodharan
Certified Generative AI Engineer
ADaSci’s Certified Generative AI Engineer program is an upskilling-linked certification initiative designed to recognize talent in generative AI and large language models.
