Goostman, a chatbot, passes the Turing Test, with 1/3 of judges believing that Eugene is human 6/18: OpenAI releases GPT-1, the first of their large language models 6/20: OpenAI releases vs. 2023 (1 year) AI Development Trending = Unprecedented41 AI Performance = In 2024… Surpassed Human Levels of Accuracy & Realism, per Stanford HAI AI System Performance on MMLU Benchmark Test – 2019-2024 knowledge and problem-solving in large language models. 89.8% is the generally-accepted benchmark for human performance. Stats above show average accuracy of top-performing AI models in each calendar year.

interact directly with those applications and systems through web and application UIs—just as a human would. Each tool should have a standardized definition, enabling flexible, many-to-many relationships messages. Send emails and texts, update a CRM record, hand-off a customer service ticket to a human. Orchestration Agents themselves can serve as tools for other agents—see the Manager Pattern in actions, such as pausing for guardrail checks before executing high-risk functions or escalating to a human if needed. 26 A practical guide to building agents Rules-based protections Simple deterministic measures

et al., 2024) to employ Group Relative Policy Optimization (GRPO) to further align the model with human preference and produce DeepSeek-V2 Chat (RL). We evaluate DeepSeek-V2 on a wide range of benchmarks Reinforcement Learning In order to further unlock the potential of DeepSeek-V2 and align it with human preference, we conduct Reinforcement Learning (RL) to adjust its preference. Reinforcement Learning employ a two-stage RL training strategy, which first performs reasoning alignment, and then performs human prefer- ence alignment. In the first reasoning alignment stage, we train a reward model ?????????

model condenses information, using 
 agreed-upon-metrics for accuracy, relevance, and coherence. 03 Human trainers Comparing AI results to responses from expert advisors, grading for accuracy and relevance process huge amounts of data from many sources, it can create customer experiences that feel more human because they’re more relevant and personalized. Indeed, the world’s No. 1 job site, uses GPT-4o find the right jobs—and understanding why a given opportunity is right for them—is a profoundly human outcome. Indeed's team has used AI to help connect more people 
 to jobs, faster—a win for everyone

heart of a murky abyss, lies a dilapidated underwater research facility, standing as a testament to human ambition and its disastrous consequences. Shrouded in darkness, pulsating with the hum of malfunctioning outsmarting cunning aquatic predators, every moment in this uncharted underworld tests the limits of human endurance and courage. Table 10. An example of prompting for self consistency That looks like an interesting Chain of Thought prompting section, the model can be prompted to generate reasoning steps like a human solving a problem. However CoT uses a simple ‘greedy decoding’ strategy, limiting its effectiveness

强化学习（Reinforcement Learning, RL） 采用强化学习（RL）方法进行优化，主要通过人类反馈强化学习（RLHF, Reinforcement Learning from Human Feedback）： 强化学习（RLHF）优化过程 • 步骤 1：人类标注者提供高质量回答。 • 步骤 2：模型学习人类评分标准，提高输出质量。 • 步骤 3：强化训练，使得生成的文本更符合人类偏好。