The booting flow of the kernel of JES system follows that defined by the application processor SoC vendor. After the booting of kernel, the ‘init’ process used is ‘BusyBox init’. Different from ‘SysV init’, ‘Busybox init’ doesn’t support ‘runlevels’. So the field ‘runlevels’ is ignored. After ‘init’ starts, the following actions are executed:
Introduction The TIYCam Software is called JES (Jovision Embedded System). JES is designed using the layers and blocks concepts. The layer concept is from the vertical point of view of the software system, while the block concept is from the horizontal point of view of the software system. JES uses the bus mode, i.e., JES[…]
The hardware of TIYcam consists of four modules: the mainboard, sensor board, I/O extension board, and the lens driver board. Mainboard: Dimension: 42mmx42mm, mounting holes with a spacing of 38mm x 38mm, thickness: 1.6mm. Silk screen color: Black. Components: Interfaces: Pin Name 1 KEY 2 TNTX+ 3 TNTX- 4 TNRX+ 5 TNRX- 6 LED_ACT 7[…]
Large language models like GPT-4 have taken the world by storm thanks to their astonishing command of natural language. Yet the most significant long-term opportunity for LLMs will entail an entirely different type of language: the language of biology. One striking theme has emerged from the long march of research progress across biochemistry, molecular biology[…]
Google Colab is a free cloud-based platform that allows data scientists and developers to run and share their code in a Jupyter Notebook environment. It is a popular tool for machine learning and data analysis because it provides access to powerful computing resources and a wide range of libraries and tools. However, there may be[…]
MLC LLM is a universal solution that allows any language models to be deployed natively on a diverse set of hardware backends and native applications, plus a productive framework for everyone to further optimize model performance for their own use cases. Our mission is to enable everyone to develop, optimize and deploy AI models natively on everyone’s devices. Everything runs locally with no server[…]
In July 19, Meta released Llama2. The second day, Chinese Llama2 was released, the project can be found at: https://github.com/LinkSoul-AI/Chinese-Llama-2-7b More impressively, it also comes with a multimodal version, called LlaVA, that also to talk to image and audio. It unifies the embeddings of text, audio and image as shown below: The github of Chinese[…]
Query and summarize your documents or just chat with local private GPT LLMs using h2oGPT, an Apache V2 open-source project. The github can be found at: https://github.com/h2oai/h2ogpt It can not only talk to documents, but also images and supports Llama2.
The Call Center Intelligence Accelerator drives huge cost saving in call center operations while improving call center efficiency & customer satisfaction. It uses Azure Speech, Azure Language and Azure OpenAI (GPT-3) services to analyze call center transcrips, extract and redact personally identifiable information (PII), summarize the transcription, and provides rich business insights that could be[…]
