[News] Orca-Math showcases the benefits of fine-tuning SLMs with multi-agent flows
A research team at Microsoft fine-tuned Mistral-7B to create Orca-Math, a small language model achieving state-of-the-art performance in solving grade school math problems (GSM8k). Orca-Math has a performance surpassing many LLMs, including math-specific models MetaMath-70B and WizardMa8th-70B.
https://dataphoenix.info/orca-math/

[News] This Week in AI: March 3-9
India is launching an AI advisory following the Google Gemini incident; Researchers are looking into optical computing as a foundation for AI; Amazon Bedrock announced the incorporation of the Claude 3 model family; OpenAI had another tumultuous week; Cognizant revealed its new advanced AI lab
https://dataphoenix.info/this-week-in-ai-march-3-10/

[News] DBSnapper Launches Version 2.0 with Database Subsetting
DBSnapper allows teams to safely use production data in development and AI modeling. Now with database subsetting for smaller, relationally complete snapshots.
https://dataphoenix.info/dbsnapper-launches-version-2-0-with-database-subsetting/

[News] The dstack Sky service connects users with GPUs at competitive prices
The dstack team has introduced dstack Sky, a managed service enabling users' access to GPUs from a wide selection of providers at competitive rates and without the hassle of managing individual provider accounts.
https://dataphoenix.info/the-dstack-sky-service-connects-users-with-gpus-at-competitive-prices/

[News] Cohere launches Command-R, a scalable model focusing on RAG and tool use
Cohere recently launched Command-R, a RAG-focused model incorporating several features designed with scalable implementation in mind, including a large context window, business proficiency in 10 languages, and tool access via external APIs. Command-R is available for deployment starting March 11.
https://dataphoenix.info/cohere-launches-command-r-a-model/

[News] Deci launches a generative AI development platform and the Deci-Nano model
Deci is debuting a series of LLMs and a Gen AI Development Platform. The first model is Deci-Nano, which features competitive benchmark scores, a fast throughput, and an affordable price. Deci-Nano and supported models can be deployed via Deci's platform via API, a VPC, or on-premises.
https://dataphoenix.info/deci-launches-a-generative-ai-development-platform-and-the-deci-nano-model/

[News] This Week in AI: March 10-16
Jan Koum's Newlands VC leads $10M investment into SuperAGI; Apple quietly bought DarwinAI to compete in the gen AI race; Databricks announces a partnership with Mistral AI; Zendesk confirms the acquisition of Ultimate; OpenAI partners with Le Monde and Prisa Media
https://dataphoenix.info/this-week-in-ai-march-10-16/

[News] NVIDIA introduces the Blackwell architecture, a technology that will power "the new industrial revolution"
NVIDIA announced its new Blackwell architecture at the GTC keynote. Blackwell is the Hopper architecture successor, featuring a 30x performance increase and a 25x cost and energy consumption decrease when training or performing real-time inference for LLMs of up to 10 trillion parameters.
https://dataphoenix.info/nvidia-introduces-the-blackwell-architecture-a-technology-that-will-power-the-new-industrial-revolution/

[News] With NVIDIA's AI microservices, organizations can create and deploy generative AI copilots privately and securely
The newly launched NVIDIA microservices enable organizations to build and deploy AI applications locally while preserving control of their data. NIM supplies high-performing containers for proprietary and open model deployment while CUDA-X accelerates the production process.
https://dataphoenix.info/nvidias-ai-microservices-enable-organizations-to/

[News] The NVIDIA Omniverse Cloud APIs extend Omniverse's capabilities for digital twins application and workflow creation
NVIDIA's Omniverse Cloud APIs enable developers to integrate RTX rendering and OpenUSD into their software tools and simulation workflows. Industry leaders worldwide leverage the Omniverse Cloud APIs to enhance their workflows and deliver solutions for the development of digital twin simulations.
https://dataphoenix.info/the-nvidia-omniverse-cloud-apis-extend-omniverses-capabilities-for-digital-twins-application-and-workflow-creation/

[News] xAI is releasing the base model weights and network architecture of Grok-1
Following Elon Musk's latest dispute with OpenAI, lawsuit included, xAI has followed through with the promise of delivering an open release of Grok-1. The weights and architecture have been released under an Apache 2.0 license, and the inference code is available on xAI's GitHub.
https://dataphoenix.info/xai-is-releasing-the/

[News] Claude 3 Haiku, Anthropic's fastest model, is now officially available
Anthropic officially launched Claude 3 Haiku on the claude.ai platform, the Claude API, and Amazon Bedrock, with upcoming Google Cloud Vertex AI availability. The vision-enabled model is fast, affordable, and is particularly adept at math reasoning and coding.
https://dataphoenix.info/claude-3-haiku-anthropics-fastest-model-is-now-officially-available/

[News] Pienso has secured $10M in Series A funding
Pienso, a startup founded by MIT Media Lab alum Birago Jones and Karthik Dinakar, announced that it secured $10 million in a Series A round led by new investor Latimer Ventures. Pienso offers a no-code platform that enables non-technical users to annotate large volumes of data to train algorithms.
https://dataphoenix.info/pienso-has-secured-10m-in-series-a-funding/

[News] This Week in AI: March 17–23
A brief recap of NVIDIA's GTC 2024; Inflection AI and Stability AI lost essential team members ; Stability AI launched SV3D and introduced Image Services on its Developer Platform; Runway announced strategic partnerships; Google was charged with a $270M fine by France's Autorité de la Concurrence
https://dataphoenix.info/this-week-in-ai-march-17-23/

[News] Andreessen Horowitz published a report on the shift in attitudes toward AI adoption and spending
Andreessen Horowitz Growth team partners Sarah Wang and Shangda Xu interviewed several enterprise leaders and surveyed 70 more to learn more about the attitudes toward AI adoption and spending. They have published their findings in a compelling report, which we distilled into this piece.
https://dataphoenix.info/andreessen-horowitz-published-a-report-on-the-shift-in-attitudes-toward-ai-adoption-and-spending/

[News] Adaptive ML secured $20M in seed funding to democratize LLM preference tuning
Adaptive ML is tackling the hurdles that keep enterprises and individuals from interacting with highly customized and user-personalized generative AI experiences. To this end, the company has secured $20M in seed funding to accelerate the development of its enterprise platform, Adaptive Engine.
https://dataphoenix.info/adaptive-ml-secured-20m-in-seed-funding/

[News] The UXL Foundation's programming model will free developers from NVIDIA's chokehold
The Unified Acceleration (UXL) Foundation has brought together a team of industry-leading organizations to develop the largest open ecosystem for accelerated computing based on Intel's OneAPI. This platform would allow, among other things, the migration out of NVIDIA's CUDA software platform.
https://dataphoenix.info/the-uxl-foundations-programming-model-will-free-developers-from-nvidias-chokehold/

[News] Activeloop announces its Series A with a reflection on the future of AI data
Activeloop, the AI data infrastructure company behind Deep Lake, celebrates its $11M Series A with an illuminating reflection on AI data's past, present, and future. Where the present struggles are caused by a data stack from the past, Deep Lake emerges as a promising future for the AI data stack.
https://dataphoenix.info/activeloop/

[News] The 2024 Machine Learning, AI & Data Landscape is hot off the presses
The 2024 MAD Landscape opens with a chart neatly organizing 2,011 active AI companies. The consequent discussion is equally informative and amusing, with this piece aiming to provide a not-too-brief overview.
https://dataphoenix.info/this-years-machine-learning-ai-data-landscape-is-out/

[News] OpenPipe announces its $6.7M seed funding round
OpenPipe secured $6.7 million, in a seed funding round led by Costanoa Ventures and featuring the participation of Y Combinator and a selection of investors, to enable developers and enterprises to substitute their GPT-4 prompts with fine-tuned models and to build their custom data flywheel.
https://dataphoenix.info/openpipe-announces-its-6-7m-seed-funding-round/

[News] There's more to the 'AI boom' than foundational model companies
The AI boom is often associated with the lightning-fast rise of foundational model companies like OpenAI. Once more, NVIDIA reminds us that hardware is also important, as its groundbreaking financial growth shines its light upon other AI hardware-related stocks.
https://dataphoenix.info/theres-more-to-the-ai-boom-than-foundational-model-companies/