Categories: AI/ML News

How few-shot learning with Google’s Prompt Poet can supercharge your LLMs

Prompt Poet allows you to ground LLM-generated responses to a real-world data context, opening up a new horizon of AI interactions.Read More

5 Key Ways LLMs Can Supercharge Your Machine Learning Workflow

Experimenting, fine-tuning, scaling, and more are key aspects that machine learning development workflows thrive on.

August 30, 2025

In "AI/ML Research"

Zero-Shot and Few-Shot Learning with Reasoning LLMs

As large language models have already become essential components of so many real-world applications, understanding how they reason and learn from prompts is critical.

May 7, 2025

In "AI/ML Research"

SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking

In-context learning with Large Language Models (LLMs) has emerged as a promising avenue of research in Dialog State Tracking (DST). However, the best-performing in-context learning methods involve retrieving and adding similar examples to the prompt, requiring access to labeled training data. Procuring such training data for a wide range of…

February 28, 2024

In "FAANG"

AI Generated Robotic Content