Articles for category: AI Tools

Deephaven Community Core with real-time data capabilities now available

Deephaven Data Labs, a high performance time-series database, today announced the release of Deephaven Community Core, a free, real-time analytics data engine with relational database features. Now available to the open source community, Deephaven Community Core empowers data developers and data scientists to access and apply dynamic and real-time data capabilities to help solve their big data use cases that drive analytics and applications. The amount of real-time data created is exponentially growing and companies need a way to quickly analyze and apply it to the decision-making process. Data scientists and data developers need a solution that seamlessly integrates real-time

GovTech Conference – Data Science and Agile—Can or Not?

Recently, I was invited to moderate a panel on the topic “Data Science and Agile–can or not?” It’s a Singlish way of asking if Agile can be applied in the domain of data science. The panel was held in conjunction with GovTech’s inaugural STACK conference for developers, programmers, and technologists from the private sector. Check out the awesome venue we have Who was in the panel? The panel involved the following guests, from left to right in the photo below: Eugene Yan (that’s me as moderator): VP of Data Science at Lazada (acquired by Alibaba), currently Senior Data Scientist at

【编译器】VSCODE烧录ESP32-C3——xiaozhi智能聊天机器人固件 – DEV Community

【编译器】VSCODE烧录ESP32-C3——xiaozhi智能聊天机器人固件 使用工具: 提示:ESP32-C3需要8MFlash,目前只有4M,因此需要扩展外置FLASH 1. 安装CH340驱动 2. 打开FLASH_DOWNLOAD文件 3. 选择芯片类型和烧录方式 4. 选择烧录文件 5. 参数配置 1. hello word例程 2. blink 例程 打开文件,注意,打开主文件,而不是整个文件夹 引脚修改 3. sample 例程 4. xiaozhi例程 可以看到,工程一共有14个字节,因此需要用16M的FLASH ESP32C3 USB & UART 下载总结DIY智能音箱:基于STM32的低成本解决方案 (附详细教程)ESP32 小智 AI 机器人入门教程从原理到实现(自己云端部署)ESP32 Cmake errorVScode下玩转ESP32S3并成功编译XIAOZHI-ESP32-MAIN代码ESP32C3-CORE开发板手把手教你用ESP32-C3打造智能聊天机器人-立创实战派 本文仅仅简单介绍了【编译器】VSCODE烧录ESP32-C3——xiaozhi智能聊天机器人固件,评论区欢迎讨论。 Source link

Deploying a Prodigy cloud service for Posh’s financial chatbots · Explosion

As many large financial institutions push to use Natural Language Processing (NLP) to digitize their customer support channels, smaller financial institutions like credit unions and community banks are having a tough time to keep pace. To address this need, Posh AI provides digital and voice AI concierge services targeted to smaller financial institutions who are seeking digital solutions to connect with their customers. Posh focuses on developing custom NLP models trained on real-world banking conversations and custom models for each client’s unique customer base and product offering. To get their NLP models working effectively, the team needed to emphasize human

Build AI on premise with Dell Enterprise Hub

Today we announce the Dell Enterprise Hub, a new experience on Hugging Face to easily train and deploy open models on-premise using Dell platforms. Try it out at dell.huggingface.co Enterprises need to build AI with open models When building AI systems, open models is the best solution to meet security, compliance and privacy requirements of enterprises: Building upon open models allows companies to understand, own and control their AI features, Open models can be hosted within enterprises secure IT environment, Training and deploying open models on-premises protects customers data. But working with large language models (LLMs) within on-premises infrastructure often

A quote from Nelson Minar

I was there at the first Atom meeting at the Google offices. We meant so well! And I think the basic publishing spec is good, certainly better technically than the pastiche of different things called RSS. Alas, a bunch of things then went wrong. Feeds started losing market share. Facebook started doing something useful and interesting that ultimately replaced blog feeds in open formats. The Atom vs RSS spec was at best irrelevant to most people (even programmers) and at worst a confusing market-damaging thing. The XML namespaces in Atom made everyone annoyed. Also there was some confusing “Atom API”

Crossing the streams is good

Remember when Egon Spengler had a radical idea? We’ve got to cross the streams, he said. It was the only way to win. Well, in our world we’re wrangling data, not ghosts, but the same concept holds true. When tackling complex data problems especially, crossing the streams is not only good, but necessary. Individual streams of data are valuable in their own right, like when you’re handling a smaller problem or ghost. They provide data related to a particular dimension—the price of a stock, the order of a customer, the metric of a device. Analytics and applications can be served

OMSCS CS6601 (Artificial Intelligence) Review and Tips

You might also be interested in this OMSCS FAQ I wrote after graduation. Or view all OMSCS related writing here: omscs. Happy holidays! Have just completed the exceptionally difficult and rewarding course on artificial intelligence, just as my new role involved putting a healthcare data product into production (press release here). The timing could not have been better. The combination of both led to late nights (due to work) and weekends completely at home (due to study). Why take this course? I was curious about how artificial intelligence would be defined in a formal education syllabus. In my line of

Rodando GitHub Actions na raça (sem push)

“Dá pra rodar a action sem fazer push? Tipo… direto do terminal?” Essa foi a pergunta que me acendeu uma luz. Era um dia comum, mais um deploy de rotina, e lá estava eu empilhando commits desnecessários no Git só pra testar uma mudança no workflow. Aquela sensação de que devia ter um jeito melhor, mais rápido, mais limpo. E adivinha? Tinha mesmo. Foi assim que comecei a explorar um mundo novo com o gh — o CLI oficial do GitHub. Neste artigo, vou te mostrar como essa simples ferramenta me salvou tempo, organizou meus fluxos de trabalho e ainda