IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, pages 7432–7439. AAAI Press, 2020. doi: 10.1609/aaai.v34i05.6239 Hu. A span-extraction dataset for Chinese machine reading comprehension. In K. Inui, J. Jiang, V. Ng, and X. Wan, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing are a total of 30 + 15 = 45 watermelon slices. The answer is 45. Q: Angela is a bike messenger in New York. She needs to deliver 8 times as many packages as meals. If she needs to deliver 27 meals and

马绪峰（清华博士后、同济大学助理教授）：人机共生之文化艺术创作 成员及核心研究方向 赛事 奖项 2024 “AI4S Cup LLM 挑战赛” 大模型科学文献分析赛道 一等奖 2024 Kaggl e The Learni ng Agency Lab - PII Data Detecti on 金牌 金山办公2024中文文本智能校对大赛 第二名 2024 法研杯 法律要素争议焦点识别 第二名 AFAC2024金融智能创新大赛

OpenAI’s ChatGPT with its extremely easy-to-use / speedy user interface. In addition, relatively new AI company founders have been especially aggressive about innovation / product releases / investments to adapt to this evolving journey as knowledge – and its distribution – get leveled up rapidly in new ways. Special thanks to Grant Watson and Keeyan Sanjasaz and BOND colleagues who helped steer ideas cost-per-token declines, open-source proliferation and chip performance improvements are making new tech advances increasingly more powerful, accessible, and economically viable. OpenAI’s ChatGPT –

insightful responses. Step-back prompting encourages LLMs to think critically and apply their knowledge in new and creative ways. It changes the final prompt doing the task by utilizing more knowledge in the LLM’s gemini-pro Temperature 1 Token Limit 1024 Top-K 40 Top-P 0.8 Prompt Write a one paragraph storyline for a new level of a first- person shooter video game that is challenging and engaging. Output The level begins underwater exploration skills to survive. Take one of the themes and write a one paragraph storyline for a new level of a first-person shooter video game that is challenging and engaging. Output In the heart of

AI in the Enterprise Lessons from seven frontier companiesContents A new way to work 3 Executive summary 5 Seven lessons for enterprise AI adoption Start with evals 6 Embed AI into your products developers 18 Set bold automation goals 21 Conclusion 22 More resources 24 2 AI in the EnterpriseA new way 
 to work As an AI research and deployment company, OpenAI prioritizes partnering with global software or deploying cloud apps. The most successful companies are often those who treat it as a new paradigm. This leads to an experimental 
 mindset and an iterative approach that gets to value faster

handling complex, multi-step tasks. Advances in reasoning, multimodality, and tool use have unlocked a new category of LLM-powered systems known as agents. This guide is designed for product and engineering or search the web. Action Enable agents to interact with systems to take actions such as adding new information to databases, updating records, or sending messages. Send emails and texts, update incrementally adding tools, keeping complexity manageable and simplifying evaluation and maintenance. Each new tool expands its capabilities without prematurely forcing you to orchestrate multiple agents. Tools

optimized DNN operator library FrameworksLimitations of Existing Approach cuDNN Frameworks New operator introduced by operator fusion optimization potential benefit: 1.5x speedup Engineering Learning System High-level data flow graph and optimizations Directly generate optimized program for new operator workloads and hardware Hardware FrameworksWhy Automation is the Future Clear winner for Future Hardware Current TVM Stack New NPU Runtime TSIM Driver TSIM Binary New Hardware Design in Verilog VerilatorToward Unified IR InfraOverview of New IR Infra Single unified module/pass, type

for different terminals. 。 To help traditional car firms AliOS互联网汽车 共创智能网联汽车 共建未来出行生态 embrace new "connected' era by acting as the IT “chassis' of ROEWE负风 auto industry /NiiOS ! 驱动万物智能 TVM Timeline w,v4.w) V0.w vadd(v30.w,v31,.w) Vvmem( rO++#1) = V0.new } r@ = #0; jumpr r31 vrmpy(v2.ub,v9.ub) vSsptLat(r2) = V1 Vmem( rO++#1) = V3.new )} nop r2 = memw(rl++#4) } :endLoop0 Vv2.uw = vrmpy(v2 vo.ub) v30 = vsptLat(r2) Vvmem( rO++#1) = V2.new v1.uw = vrmpy(v1.ub,vo.ub) Vmem( rO++#1) = V1.new Vv31.uw = vrmpy(v30.ub,vo.ub) Vmem( rO++#1) = V31.new 上 r0 = #0; jumpr r31 } PART FOUR Alios

11/8/2019 Jared Roesch OctoML is a new company building DL deployment solutions using the Apache (incubating) TVM project. A goal is to nurture the TVM community and contribute new infrastructure and features folks) o_ Improved NLP support, with focus on transformers QQ octoML Core Infrastructure Refactors ee New Integer Analysis Infrastructure o_ Supports the ability to handle nested division and modulus o_ Improves vm::Object NDArray | Rd | tuplelclosure AST Nodes Cross language suppPort Easy to introduce new runtime objects (trees, graphs) Direct access from other languages QQ octoML HTVM Overview *。 Plug

YOLO model, but... ResNet-50 Dense Non Maximum Suppression Non Maximum Suppression (NMS) is too new to be supported by your chip But NMS is supported by TVM!© 2019, Amazon Web Services, Inc. or its new_call = relay.Call(call.op, params, call.attrs) if curr_last: . new_call = subgraph_end(new_call, self.target) return new_call© 2019