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.
A Hands-on Guide on CometLLM for LLM Explainability
CometLLM enhances LLM explainability through prompt logging, tracking, and visualization, facilitating transparency and reproducibility in
A Hands-on Guide to Arize Phoenix for LLM Observability
Robust monitoring and observability tool Arize AI’s Phoenix aids LLM deployment and optimization.
A Practical Guide to Tracing and Evaluating LLMs Using LangSmith
Explore LangSmith, a platform for enhancing LLM transparency and performance through comprehensive tracing and evaluation
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.
