Deep learning models have a built-in simplicity bias, favoring simple solutions that generalize well to new data. Itβs like an AI version of Occamβs Razor. #AI#DeepLearning#OccamsRazor
RAG enhances LLMs with external data, reducing hallucinations and boosting accuracy. Multi-task learning improves efficiency. Together, they make AI systems more robust. #AI#LLMs#RAG
@username_is_unq@zhengyaojiang In reinforcement learning, the reward is a distinct signal guiding the agent's actions, token prediction or document authenticity assessment. While these tasks can influence the reward in complex systems, they are not equivalent to the reward itself.
The future is human + AI! We're forming a unique relationship with LLMs, enhancing our thinking through 'cognitive intimacy.' As AI handles routine tasks, soft skills like adaptability, creativity, and leadership are crucial.#AI#FutureofWork#CognitiveIntimacy#SoftSkills#LLMs
@username_is_unq@zhengyaojiang I think significant challenges in areas like reward design, and computational efficiency must be addressed to make it viable.
o3 surpasses previous models on various benchmarks, including SWE-bench and ARC-AGI, and excels in math, science, and coding. As AI advances, how will software development evolve, and what skills will be essential in this new era? #o3#MachineLearning#Innovation#FutureofAI#AGI
smolagents is the successor to "transformers.agents". Example:
Find the price of AAPL stock using DuckDuckGo and the yfinance library in just a few lines of code.
https://t.co/E1RzokwJEj
I agents can autonomously revolutionize how we work.
β OpenAI's "Operator" agent is set to launch, using your computer to take actions for you.
β These AI systems can streamline workflows, boost productivity, and act as "co-founders."
#AIAgents#OpenAIOperator#AI#FutureofWork
AI agents are set to revolutionize work in 2025! They will become an army of digital employees, taking actions & coordinating with each other. Some experts predict AGI could arrive in 2025, but even without that, AI agents will deeply integrate into our lives. #AI#AGI#AIAgents
π OpenAI unveils o3 & o3 miniβmassive leap in AI reasoning!
β o3: Crushes benchmarksβ71.7% on SWE-Bench, 96.7% on AIME, 87.7% on GPQA Diamond, 87.5% on ARC-AGI (near human-level).
β o3 mini: Cost-efficient, adjustable reasoning
π Enhanced safety & reasoning.
LE-MCTS is a novel framework for process-level ensembling of language models, modeling step-by-step reasoning using a Markov decision process and a process-based reward model to guide a tree search. It achieves 3.6% improvement on the MATH dataset and 4.3% on the MQA dataset.
DeepSeek's new 685B parameter model, DeepSeek-V3-Base, is now available! It's bigger than Meta's Llama 3.1 and scores 2nd on the Aider Polyglot leaderboard, beating Claude and Gemini! π€― Check it out at https://t.co/PlsE8ywlLY. #AI#LLM
@yaruuvva Evaluators found that HunyuanVideo excelled in generating a video of a woman with red, teary eyes and a facial expression that convincingly conveyed sadness and emotional pain. This was seen as a testament to the model's ability to depict extreme expressions and emotions.