[Articles] Necrobotics: Unlocking the Future of Academia
Exploring the intersection of neuroscience, robotics, and AI to revolutionize teaching, learning, and research.
https://dataphoenix.info/necrobotics-unlocking-the-future-of-academia/

[Startups] Dropbox Launches AI Venture
Dropbox launches $50M venture fund to invest in the AI startup ecosystem and announced Dropbox Dash and Dropbox AI, new product experiences designed to improve modern work and help customers get more out of their content.
https://dataphoenix.info/dropbox-launches-ai-venture/

[News] AWS Announces Generative AI Innovation Center
AWS invests $100 million in a new program that connects AWS machine learning and artificial intelligence experts with customers and partners worldwide to accelerate enterprise innovation and success with generative AI.
https://dataphoenix.info/aws-announces-generative-ai-innovation-center/

[News] TitanML: Why we are launching a public beta
TitanML is launching the public beta after successful private testing! Beta users will get access to the platform, including GPUs, fine-tuning LLMs using QLoRA, leveraging hosted infrastructure with experimentation, dataset, and model management capabilities, and more.
https://dataphoenix.info/titanml-why-we-are-launching-a-public-beta/

[News] Databricks acquires MosaicML
Together, Databricks and MosaicML will enable any company to build, own and secure best-in-class generative AI models while maintaining control of their data
https://dataphoenix.info/databricks-acquires-mosaicml/

[News] Announcing OpenLLM: An Open-Source Platform for Running Large Language Models in Production
BentoML introduces OpenLLM, an open-source platform that simplifies fine-tuning, serving, deploying, and monitoring large language models in production.
https://dataphoenix.info/announcing-openllm-an-open-source-platform-for-running-large-language-models-in-production/

Workshop "LangChain: How to Build ChatGPT for Your Data"
Using LLMs is cool. Building end-to-end apps with LLMs is even cooler. Join Greg Loughnane and ​Chris Alexiuk on Wednesday, 5 July, to learn how to use LangChain to make some LLMOps magic happen.
https://dataphoenix.info/workshop-langchain-how-to-build-chatgpt-for-your-data/

📢 We are live and starting Data Phoenix webinar "Reducing NLP Inference costs through model specialisation" with Meryem Arik (Co-founder of TitanML). Join us: https://youtube.com/live/WqL_Z2OKQmo

⚡️ DataPhoenix presented the new issue of the digest!
Upcoming Data Phoenix community webinars: LLM evaluations, multilingual semantic search, rise in the use of synthetic data for regulated industries, how to use LLMs to interface with multiple data sources, best practices for building LLM-based applications, leveraging LLMs for enterprise usage.
https://dataphoenix.info/data-phoenix-digest-issue-9-2023/

[Articles] Artificial Intelligence and Green Energy: Driving the Transition to a Low-carbon Future
In the ongoing battle against climate change, the world is at a crucial turning point where it is imperative to switch to low-carbon and sustainable energy sources. In this article, you will learn how AI may accelerate the use of green energy and influence the development of a low-carbon future.
https://dataphoenix.info/artificial-intelligence-and-green-energy-driving-the-transition-to-a-low-carbon-future/

Webinar "Large Language Model Evaluations - What and Why"
Join us for an insightful talk as we delve deep into the intricacies of assessing the performance and quality of LLMs and discover the best practices to ensure the reliability and accuracy of your LLM applications.
https://dataphoenix.info/webinar-large-language-model-evaluations-what-and-why/

[News] Meta Unveils Improved AI Model, Llama 2, to Bolster Chatbot Technology
Meta has released Llama 2, its next-generation, open-source large language model, represented by 7 billion, 13 billion, and 70 billion parameter versions. The company has made this model accessible for research and commercial applications, fostering further development in the field.
https://dataphoenix.info/meta-unveils-improved-ai-model-llama-2-to-bolster-chatbot-technology/

[Startups] Tractable Nets $65M in Series E Funding to Digitize Insurance Claims via Visual AI
Tractable’s AI automates the insurance claims and damage assessment process, enabling real-time condition assessment and accurate repair estimates based on images captured via smartphone
https://dataphoenix.info/tractable-nets-65m-in-series-e-funding-to-digitize-insurance-claims-via-visual-ai/

[Startups] Preply Raises $70M to Enhance AI Capabilities for Personalized Language Learning
Preply plans to use the funds to assist its rapid expansion into AI and launch new teaching assistants to enhance language learning.
https://dataphoenix.info/preply-raises-70m-to-enhance-ai-capabilities-for-personalized-language-learning/

⚡️ DataPhoenix presented the new issue of the digest!
New AI events calendar, webinars (multilingual semantic search, rise in the use of synthetic data for regulated industries, LlamaIndex: how to use LLMs to Interface with multiple data sources), accelerating stable diffusion Inference, introduction to mypy, Llama 2, MIS-FM, LLaMA-Adapter, and more.
https://dataphoenix.info/data-phoenix-digest-issue-10-2023/

📢 We are live and starting Data Phoenix webinar “Large Language Model Evaluations - What and Why” with Sourabh Agrawal (CEO & Founder, UpTrain). Join us: https://youtube.com/live/0RqV5Ju1hQI

Webinar "Multilingual Semantic Search"
Join the Data Phoenix webinar in which Nils Reimers (Director of Machine Learning at Cohere) will talk about why multilingual semantic search is amazing, how respective models are trained, and the new use cases this unlocks.
https://dataphoenix.info/webinar-multilingual-semantic-search/

Webinar "Rise in the use of synthetic data for regulated industries"
Join the Data Phoenix webinar in which Supreet Kaur (AI Product Manager at Morgan Stanley) will talk about synthetic data, its most impactful use cases, and the challenges companies face while harnessing its power.
https://dataphoenix.info/webinar-rise-in-the-use-of-synthetic-data-for-regulated-industries/

[News] Nvidia announces availability of DGX Cloud on Oracle Cloud Infrastructure for generative AI training
NVIDIA's DGX Cloud is now widely accessible, boasting thousands of NVIDIA GPUs on Oracle Cloud and NVIDIA's infrastructure in the U.S. and U.K. The service equips enterprises with the necessary tools for training advanced AI models, each DGX Cloud instance featuring eight GPUs.
https://dataphoenix.info/nvidia-announces-availability-of-dgx-cloud-on-oracle-cloud-infrastructure-for-generative-ai-training/

[News] Cohere Introducing Coral, the Knowledge Assistant for Enterprises
Cohere unveils Coral, an enterprise-grade knowledge assistant designed to boost productivity and streamline workflows. Backed by Cohere's Command model and focused on data privacy, Coral's customized and conversational capabilities can significantly streamline various business functions.
https://dataphoenix.info/cohere-introducing-coral-the-knowledge-assistant-for-enterprises/

⚡️ DataPhoenix presented the new issue of the digest!
Webinar "LlamaIndex: How to use LLMs to Interface with Multiple Data Sources", running Llama 2 on CPU inference locally for document Q&A, different ways of training LLMs, LangChain + Streamlit + Llama, Animate-A-Story, DS-Fusion, CoTracker, OpenAssistant Conversations, Zip-NeRF, and more.
https://dataphoenix.info/data-phoenix-digest-issue-11-2023/