How airoboros Generates High‑Quality Synthetic Training Data
Modern large language models crave oceans of diverse, instruction‑like text pairs and airoboros tackles this gap head‑on.
Harsh Singhal | DataScienceFM
Exploring Scopy: Python Tools for Smarter Drug Discovery
Scopy is a Python library that streamlines early drug discovery by offering modules for drug-likeness scoring, molecular representation, toxicity prediction, and data pre-treatment. Its modular design empowers researchers to clean, filter, and analyze molecular datasets efficiently.
Fine-Tuned LLMs: Lucrative Niche Opportunities
Fine-tuned large language models are unlocking high-impact opportunities by specializing in domains like cybersecurity, healthcare, and finance. This podcast explores how these tailored models outperform generic ones in accuracy, reliability, and cost-effectiveness.
AI and Small-Molecule Chemistry: Student Opportunities
Explore how AI is transforming small-molecule chemistry, making advanced tools accessible to students and researchers. From RDKit to GPT-4, this evolving field opens doors to innovation in drug discovery and beyond. Discover key opportunities, tools, and concepts in this AI-powered frontier.
AI: Unlocking Abundance Beyond Human Constraints
Discover how AI is breaking human limitations and enabling abundance across industries. From healthcare to education, automation is transforming work and innovation. Listen to an AI-generated podcast that explores this shift in depth.
Building a Deep Research Workflow with Python Pipelines - 2
A deep research report isn't a single pass of an initial keyword. It requires doing multiple steps where the agent is progressively discovering and uncovering new research questions to pursue.
Building a Deep Research Workflow with Python Pipelines
Dive into a Python-based approach that leverages web scraping, functional programming, and AI summarization to create a basic deep research workflow.
