current location:Home > Technical Articles > Technology peripherals > AI
- Direction:
- All web3.0 Backend Development Web Front-end Database Operation and Maintenance Development Tools PHP Framework Daily Programming WeChat Applet Common Problem Other Tech CMS Tutorial Java System Tutorial Computer Tutorials Hardware Tutorial Mobile Tutorial Software Tutorial Mobile Game Tutorial
- Classify:
-
- Share several .NET open source AI and LLM related project frameworks
- The development of artificial intelligence (AI) technologies is in full swing today, and they have shown great potential and influence in various fields. Today Dayao will share with you 4 .NET open source AI model LLM related project frameworks, hoping to provide you with some reference. https://github.com/YSGStudyHards/DotNetGuide/blob/main/docs/DotNet/DotNetProjectPicks.mdSemanticKernelSemanticKernel is an open source software development kit (SDK) designed to integrate large language models (LLM) such as OpenAI, Azure
- AI 725 2024-05-06 16:43:12
-
- OpenAI Sora makes creators' jobs easy, and they believe they won't be easily replaced
- According to news on May 6, early testers of OpenAI’s text generation video tool Sora seem to be relieved. Rather than panicking about being replaced by this tool, they find it makes their work more interesting. In February this year, artificial intelligence startup OpenAI officially launched Sora, a tool designed to "deeply understand and simulate the changing real world." Sora is known for its unique text-to-video conversion technology that generates feature-length, high-quality videos up to a minute long, and its proof-of-concept video generated widespread attention across the web upon its release. However, for some Hollywood practitioners, the emergence of this technology undoubtedly brings a certain degree of threat. Veteran filmmaker Tyler Perry (
- AI 1110 2024-05-06 16:34:09
-
- As demand grows in the artificial intelligence era, AWS, Microsoft, and Google continue to invest in cloud computing
- The growth of the three cloud computing giants shows no sign of slowing down until 2024, with Amazon, Microsoft, and Google all generating more revenue in cloud computing than ever before. All three cloud vendors have recently reported earnings, continuing their multi-year strategy of consistent revenue growth. On April 25, both Google and Microsoft announced their results. In the first quarter of Alphabet’s fiscal year 2024, Google Cloud’s revenue was US$9.57 billion, a year-on-year increase of 28%. Microsoft's cloud revenue was $35.1 billion, a year-over-year increase of 23%. On April 30, Amazon Web Services (AWS) reported revenue of US$25 billion, a year-on-year increase of 17%, ranking among the three giants. Cloud computing providers have a lot to be happy about, with the growth rates of the three market leaders over the past
- AI 680 2024-05-06 16:22:20
-
- Tesla robots work in factories, Musk: The degree of freedom of hands will reach 22 this year!
- The latest video of Tesla's robot Optimus is released, and it can already work in the factory. At normal speed, it sorts batteries (Tesla's 4680 batteries) like this: The official also released what it looks like at 20x speed - on a small "workstation", picking and picking and picking: This time it is released One of the highlights of the video is that Optimus completes this work in the factory, completely autonomously, without human intervention throughout the process. And from the perspective of Optimus, it can also pick up and place the crooked battery, focusing on automatic error correction: Regarding Optimus's hand, NVIDIA scientist Jim Fan gave a high evaluation: Optimus's hand is the world's five-fingered robot. One of the most dexterous. Its hands are not only tactile
- AI 1120 2024-05-06 16:13:01
-
- LeCun on the moon? Nankai and Byte open source StoryDiffusion to make multi-picture comics and long videos more coherent
- Two days ago, Turing Award winner Yann LeCun reprinted the long comic "Go to the Moon and Explore Yourself", which aroused heated discussion among netizens. In the paper "StoryDiffusion: Consistent Self-Attention for long-range image and video generation", the research team proposed a new method called StoryDiffusion for generating consistent images and videos describing complex scenes. The research on these comics comes from institutions such as Nankai University and ByteDance. Paper address: https://arxiv.org/pdf/2405.01434v1 Project homepage: https:
- AI 888 2024-05-06 16:10:31
-
- For only $250, Hugging Face's technical director teaches you how to fine-tune Llama 3 step by step
- The familiar open source large language models such as Llama3 launched by Meta, Mistral and Mixtral models launched by MistralAI, and Jamba launched by AI21 Lab have become competitors of OpenAI. In most cases, users need to fine-tune these open source models based on their own data to fully unleash the model's potential. It is not difficult to fine-tune a large language model (such as Mistral) compared to a small one using Q-Learning on a single GPU, but efficient fine-tuning of a large model like Llama370b or Mixtral has remained a challenge until now. Therefore, Philipp Sch, technical director of HuggingFace
- AI 1124 2024-05-06 15:52:35
-
- Good news for developers! GitHub launches the AI native development environment Copilot Workspace with 4 core functions. The preview version has been released!
- Compiled | Produced by Yifeng | 51CTO Technology Stack (WeChat ID: blog51cto) Is there a new artifact in the AI programming world? GitHub launched Copilot Workspace, an artificial intelligence native development environment. It aims to allow "any developer to start with an idea, create code, and then proceed to software using natural language." Image developers can use natural language to brainstorm, plan, build, test, and run code faster and easier than ever before. In 2023, GitHub Copilot Workspace attracted user attention for the first time. Now released as a technology preview, developers have shown strong interest in this development tool and have signed up for the waiting list. https://github.co
- AI 807 2024-05-06 15:49:01
-
- Take a look at the current front-end editor
- When helping some students remotely modify the code, I found that the editors used by everyone are various: VSCode, WebStorm and even Sublime... This can't help but remind me: [When I first learned the front-end, I really Tried many different options on the editor]. So far, I have become a "hardcore fan" of using VSCode and have even "forgot" that other editors exist. You can think of this as a kind of "focus." However, this also limits our choices. Therefore, today we will take a look at the current front-end editors. After all, "a hundred schools of thought contend" will "collide" with more inspiration: notepad++ Advantages: Free and open source: Notepad++ is a free
- AI 751 2024-05-06 15:30:16
-
- OmniDrive: A framework for aligning large models with 3D driving tasks
- We start with a novel 3DMLLM architecture that uses sparse queries to lift and compress visual representations into 3D, which are then fed into the LLM. Title: OmniDrive: AHolisticLLM-AgentFramework for Autonomous Driving with 3DPerception Reasoning and Planning Author affiliation: Beijing Institute of Technology, NVIDIA, Huazhong University of Science and Technology Open source address: GitHub-NVlabs/OmniDrive The development of multimodal large language models (MLLMs) has led to growing interest in LLM-based autonomous driving , leveraging their powerful reasoning capabilities
- AI 991 2024-05-06 15:16:35
-
- MLP was killed overnight! MIT Caltech and other revolutionary KANs break records and discover mathematical theorems that crush DeepMind
- Overnight, the machine learning paradigm is about to change! Today, the infrastructure that dominates the field of deep learning is the multilayer perceptron (MLP), which places activation functions on neurons. So, beyond that, are there any new routes we can take? Just today, teams from MIT, Caltech, Northeastern University and other institutions released a new neural network structure-Kolmogorov–Arnold Networks (KAN). The researchers made a simple change to the MLP by moving the learnable activation function from the nodes (neurons) to the edges (weights)! Paper address: https://arxiv.org/pdf/2404.19756 This change seems baseless at first glance
- AI 878 2024-05-06 15:10:01
-
- Artificial Intelligence in Medical Diagnostics Market to Reach $4 Billion by 2028
- In healthcare, where accuracy and speed are critical, the integration of artificial intelligence (AI) has become a transformative force. The market for artificial intelligence in medical diagnostics was once an emerging niche, but it has quickly grown into a powerful market with forecasts reaching billions of dollars. The artificial intelligence market size in medical diagnosis will be worth US$1.25 billion in revenue in 2023 and is expected to reach US$4.48 billion by 2028, growing at a CAGR of 29.04% during the forecast period. The growth of artificial intelligence in medical diagnostics market is driven by several key factors: Growing demand for artificial intelligence-based solutions: As the modern healthcare landscape continues to evolve and new diseases and conditions are discovered, the demand for artificial intelligence-based solutions
- AI 482 2024-05-06 15:01:06
-
- Tesla's Optimus humanoid robot works in the factory, is skilled in disassembling batteries, self-correcting, and can go even further
- Tesla humanoid robot has unlocked new skills! Yesterday, Tesla Optimus officially released a new demo video, showing the latest progress of the second-generation Optimus humanoid robot. This time, Optimus started working in the factory. He learned to assemble batteries at the Tesla battery factory and walked faster, farther and more steadily than before. Let’s take a first look at Optimus’ latest skills and training details. Optimus’ end-to-end neural network is now trained to accurately assemble battery cells at Tesla factories. Runs in real time on the robot's FSD computer, relying solely on 2D cameras, hand touch and force sensors. Optimus uses its legs to maintain balance while the network drives its entire upper body.
- AI 834 2024-05-06 14:52:10
-
- CVPR 2024 | With the help of neural structured light, Zhejiang University realizes real-time acquisition and reconstruction of dynamic three-dimensional phenomena
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com. Efficient and high-quality reconstruction of dynamic three-dimensional physical phenomena such as smoke is an important issue in related scientific research. It has broad application prospects in aerodynamic design verification, meteorological three-dimensional observation and other fields. By reconstructing a three-dimensional density sequence that changes over time, it can help scientists
- AI 731 2024-05-06 14:50:14
-
- ICLR 2024 Spotlight | NoiseDiffusion: Correct diffusion model noise and improve interpolation image quality
- Author|PengfeiZheng Unit|USTC,HKBUTMLRGroup In recent years, the rapid development of generative AI has injected strong impetus into eye-catching fields such as text-to-image generation and video generation. The core of these techniques lies in the application of diffusion models. The diffusion model first gradually changes the picture into Gaussian noise by defining a forward process that continuously adds noise, and then gradually denoises the Gaussian noise through a reverse process and turns it into a clear picture to obtain real samples. The diffusion ordinary differential model is used to interpolate the values of the generated images, which has great application potential in generating videos and some advertising creatives. However, we noticed that when this method is applied to natural images, the interpolated image effects are often unsatisfactory. exist
- AI 1003 2024-05-06 14:01:24
-
- AI learns to hide its thinking and reason secretly! Solving complex tasks without relying on human experience is more black box
- When AI does math problems, the real thinking is actually "mental arithmetic" secretly? A new study by a team from New York University found that even if AI is not allowed to write steps and is replaced with meaningless "...", its performance on some complex tasks can be greatly improved! One author, JacabPfau, said: As long as you spend computing power to generate additional tokens, you can bring advantages. It doesn’t matter what token you choose. For example, let Llama34M answer a simple question: How many of the first 6 digits of the natural constant e are greater than 5? The AI's direct answer is equivalent to messing around. It only counts the first 6 digits and actually counts 7. Let AI write out the steps to verify each number, and you can get the correct answer. Let AI hide the steps and replace them with a large number of "...
- AI 858 2024-05-06 12:00:30