[News] Tabnine plans to keep innovating after bringing in $25M
Tabnine recently raised $25M after completing a successful Series B round led by Telstra Ventures with participation from new investor Atlassian. The company plans to invest the funds into continuing to create AI-powered products.
https://dataphoenix.info/tabnine-plans-to-keep-innovating-after-bringing-in-25m/

⚡️ DataPhoenix presented the new issue of the digest!
Gen AI Data Chain at Scale, RAG vs Fine Tuning, Feature Store Design at Constructor, Multimodal Chain-of-Thought Reasoning in Language Models, Build and Deploy ML Inference Applications from Scratch Using SageMaker, ReBotNet, BiomedGPT, and more.
https://dataphoenix.info/data-phoenix-digest-issue-17-2023/

[News] Reports shed new light on AI monetization and the regulatory landscape
Two recently published reports shed new light on the current state of the monetization of generative AI and its regulatory landscape. Together, these two reports help us lay the groundwork for a more substantial overview of AI in the workplace.
https://dataphoenix.info/reports-shed-new-light-on-generative-ai-monetization-and-the/

📢 We are live and starting Data Phoenix webinar Webinar "Gen AI data chain at scale" with ​Tibor Mach (ML Solutions Engineer at Iterative.ai) Join us: https://youtube.com/live/fKJ7r7IGHa0

📢 We are live and starting Data Phoenix webinar Webinar "Machine Learning Techniques in Healthcare Industry" with ​Shahid Mohammad Ganie (Assistant Professor at the AI Research Centre at Woxsen University) Join us: https://youtube.com/live/lw0DxibFqTc

[News] IBM renews commitment to enterprise-focused AI by launching $500M fund
IBM recently announced it would be the sole investor in its newly launched $500-million Enterprise AI Venture Fund. The company plans to invest in startups in a wide range of stages, from early-stage to hyper-growth, as a means to leverage both its own and third-party models to foster AI innovation.
https://dataphoenix.info/ibm-renews-commitment-with-entreprise-ai-by-launching-500m-fund/

[News] Giskard's collaborative open-source platform helps developers build better AI products
Giskard is a European startup working on collaborative, open-source software that ensures the quality of AI models. Its framework currently consists of three elements: the ML Testing Library, the AI Quality Hub, and the LLM monitoring tool LLMon.
https://dataphoenix.info/giskards-collaborative-open-source-platform-helps-developers-build-better-ai-products/

[News] Atlas emerges from stealth with $6M to develop its AI worldbuilding platform
Atlas has finally launched after completing two funding rounds, with $6 million raised. Atlas plans to invest the funds to expand its developer tool suite and launch a self-service 3D AI creator platform so individuals can profit from the proprietary software.
https://dataphoenix.info/atlas-emerges-from-stealth-with-6m-to-develop-its-ai-worldbuilding-platform/

[News] Osium AI will boost the materials development cycle with Machine Learning
French startup Osium is looking into materials science research and development as a use case for machine learning. Osium AI's solutions are data-driven tools that optimize the back-and-forth between materials formulation and testing to make it more efficient and sustainable.
https://dataphoenix.info/osium-ai-will-boost-the-materials-development-cycle-with-machine-learning/

[News] Webinar "Leveraging open-source LLMs for production"
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Andrey Cheptsov (CEO and founder of dstack) will discuss using open-source LLMs for real-world purposes.
https://dataphoenix.info/webinar-leveraging-open-source-llms-for-production/

[News] Highlights from Microsoft's Ignite conference
Microsoft's 2023 Ignite conference was packed with announcements heavily focused on AI integration at all levels of the company's offerings. Here, we present a selection of announcements concerning hardware for HPC and AI workloads, data science, and generative AI for sales and cybersecurity teams.
https://dataphoenix.info/highlights-from-microsofts-ignite-conference/

[News] Artisan brings in $2.3M to create digital workers
Artisan, an AI startup focused on creating human-like digital workers known as Artisans, recently announced it raised $2.3 million in pre-seed funding. The startup looks to build "out-of-the-box AI digital workers that integrate seamlessly with human teams."
https://dataphoenix.info/artisan-brings-in-2-3m-to-create-digital-workers/

⚡️ DataPhoenix presented the new issue of the digest!
How to Instruction Tune a Base Language Model, Transforming MLOps at DoorDash with ML Workbench, RAG with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search, LMQL — SQL for Language Models, Tracking Anything in High Quality, PMC-LLaMA, Text2Performer, and more.
https://dataphoenix.info/data-phoenix-digest-issue-18-2023/

[News] Aptus.AI closes successful pre-Series A funding round with 3M EUR
Italian startup Aptus.AI recently announced the conclusion of its pre-Series A round, in which the company raised 3 million euros. Aptus.AI's product is the Daitomic platform, a RegTech platform that generates machine-readable versions of regulation documents.
https://dataphoenix.info/aptus-ai-closes-successful-pre-series-a-funding-round-with-3m-eur/

📢 We are live and starting Data Phoenix webinar "Leveraging open-source LLMs for production" with ​Andrey Cheptsov (CEO & Founder of dstack). Join us: https://youtube.com/live/skeO0vOc6ds

[News] Webinar "How to Instruction Tune a Base Language Model"
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Harpreet Sahota (Developer Relations Manager at Deci) will discuss the nuances of supervised fine-tuning, instruction tuning, and the powerful techniques that bridge the gap between model objectives and user-specific requirements.
https://dataphoenix.info/webinar-how-to-instruction-tune-a-base-language-model/

[News] Together AI announces its $102.5M Series A
Together AI recently raised $102.5 million in a Series A round led by Kleiner Perkins. According to the company's announcement, the capital will be put into accelerating Together AI's goal of "creating the fastest cloud platform for generative AI applications."
https://dataphoenix.info/together-ai-announces-its-102-5m-series-a/

[News] PhysicsX will accelerate the engineering process with its newly raised $32M
PhysicsX is a UK-based startup that focuses on building AI and simulation technologies that address the needs of breakthrough engineering in advanced industries. The company is announcing the closing of its Series A funding round, which raised $32 million.
https://dataphoenix.info/physicsx-just-raised/

[News] Deep learning tool GNoME aids in the discovery of 2.2M new crystals
DeepMind and Google researchers made a groundbreaking discovery of 2.2M new inorganic crystals with the help of GNoME, with 736 of these being experimentally realized. Researchers are also looking into creating an autonomous laboratory to automate and expedite the synthesis of new materials.
https://dataphoenix.info/deep-learning-tool-gnome-aids-in-the-discovery-of-2-2m-new-crystals/

⚡️ DataPhoenix presented the new issue of the digest!
Evaluating LLM-based Apps and Mitigating Their Risks, Democratizing AI Deployment, Retrieval-Augmented Generation From Theory to LangChain Implementation, Serverless Compute for LLM, Accelerating PyTorch Training Workloads with FP8, Mustango, MEDITRON-70B, DemoFusion, and more.
https://dataphoenix.info/data-phoenix-digest-issue-19-2023/

📢 We are live and starting Data Phoenix webinar "How to Instruction Tune a Base Language Model" with Harpreet Sahota (Deep Learning Developer Relations Manager at Deci). Join us: https://youtube.com/live/DuEwDEJyWYo