⏰ Featured AI: Qwen Releases QwQ-32B and DeepSeek AI Releases Smallpond......

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Dive into the hottest AI breakthroughs of the week—handpicked just for you!

Super Important AI News 🔥 🔥 🔥

🧵🧵 Open-source AI alignment framework: Parlant — Control LLM agent behavior in customer-facing interactions  ₍🙏_Promoted)

📢 Qwen Releases QwQ-32B: A 32B Reasoning Model that Achieves Significantly Enhanced Performance in Downstream Task | It beats everyone including DeepSeek, Anthropic, Meta, Google, and xAI on LiveBench AI except the o1-line of reasoning models ₍👏_Exciting)

🚨 Researchers from FutureHouse and ScienceMachine Introduce BixBench: A Benchmark Designed to Evaluate AI Agents on Real-World Bioinformatics Task ₍👏_Exciting)

💡💡 Stanford Researchers Propose Few-Shot Preference Optimization (FSPO): A Novel Machine Learning Framework Designed to Model Diverse Sub-Populations in Preference Datasets to Elicit Personalization in Language Models for Open-Ended Question Answering ₍😊_Interesting)

🧲 🧲  DeepSeek AI Releases Smallpond: A Lightweight Data Processing Framework Built on DuckDB and 3FS ₍👏_Exciting)

Coding Tutorial </>

🖥️ Step by Step Guide to Build an AI Research Assistant with Hugging Face SmolAgents: Automating Web Search and Article Summarization Using LLM-Powered Autonomous Agents (</>Colab Notebook Included)

Hugging Face’s SmolAgents framework provides a lightweight and efficient way to build AI agents that leverage tools like web search and code execution. In this tutorial, we demonstrate how to build an AI-powered research assistant that can autonomously search the web and summarize articles using SmolAgents. This implementation runs seamlessly, requiring minimal setup, and showcases the power of AI agents in automating real-world tasks such as research, summarization, and information retrieval.….

import os
from getpass import getpass


# Securely input and store the Hugging Face API token
os.environ["HUGGINGFACEHUB_API_TOKEN"] = getpass("Enter your Hugging Face API token: ")

Other AI News 🎖️🎖️🎖️

🧵🧵 Open-source AI alignment framework: Parlant — Control LLM agent behavior in customer-facing interactions  ₍🙏_Promoted)

🚨 Few-Shot Preference Optimization (FSPO): A Novel Machine Learning Framework Designed to Model Diverse Sub-Populations in Preference Datasets to Elicit Personalization in Language Models for Open-Ended Question Answering

🧿 This AI Paper from Aalto University Introduces VQ-VFM-OCL: A Quantization-Based Vision Foundation Model for Object-Centric Learning

 🧩  Researchers at Stanford Introduces LLM-Lasso: A Novel Machine Learning Framework that Leverages Large Language Models (LLMs) to Guide Feature Selection in Lasso ℓ1 Regression

📢   NeoBERT: A next-generation encoder model for English text representation, pre-trained from scratch on the RefinedWeb datase

🚨 HippoRAG 2: Advancing Long-Term Memory and Contextual Retrieval in Large Language Models