📢 We are live and starting Data Phoenix webinar "Best Security Practices for the LLMs” with Gloria Felicia (CEO, Co-founder of InsightCircle AI).

Join us: https://youtube.com/live/npsbQ7QPf2o

[News] Anyscale announces collaboration with Meta to accelerate development of the Llama 2 ecosystem
Anyscale, the company behind API platform Anyscale Endpoints, has announced its collaboration with Meta to advance the Llama 2 ecosystem. Presumably, this collaboration will hinge upon the work on LLM fine-tuning showing that, when fine-tuned, even the smallest Llama model can outperform GPT-4.
https://dataphoenix.info/anyscale-announces-collaboration-with-meta-to-accelerate-development-of-the-llama-2-ecosystem/

[News] OpenAl announces DevDay, its very first developer conference
OpenAI’s first developer conference will take place November 6 in San Francisco, with registration opening soon. The conference will feature in person breakout sessions and a livestreamed keynote showcasing OpenAI’s latest work.
https://dataphoenix.info/openal-announces-devday-its-very-first-developer-conference/

[News] Stability AI launched a first-of-its-kind audio and music generation AI product
Stable Audio is the first publicly available AI-assisted music and sound effect generation service. Stability AI has officially announced the launch of the product in a blog post that features plenty of remarkable example tracks and prompts that boast the platform’s capabilities.
https://dataphoenix.info/stability-ai-launched-a-first-of-its-kind-audio-and-music-generation-ai-product/

[News] MIT looks to improve the quality of life for cerebral palsy patients using a pose-mapping technique
A team of MIT engineers looks to make clinical evaluation of cerebral palsy patients easier and remotely accessible. They’ve developed a method that analyses videos of patients and assigns them a score based on the presence of movement patterns specific to the development of the disorder.
https://dataphoenix.info/mit-looks-to-improve-the-quality-of-life-for-cerebral-palsy-patients-using-a-pose-mapping-technique/

[News] Anyscale releases Ray 2.7: improvements for Ray libraries and KubeRay, introduces RayLLM
Anyscale releases Ray 2.7, bringing exciting new features and improvements that make it easy to scale AI and Python workloads — from train and tuning to model serving. Among the most noteworthy new features is the general availability of Ray AI libraries, KubeRay, and RayLLM.
https://dataphoenix.info/anyscale-releases-ray-2-7-improvements-for-ray-libraries-and-kuberay-introduces-rayllm/

⚡️ DataPhoenix presented the new issue of the digest!
Gorilla: LLM connected with massive APIs, lessons learned from building a managed RAG solution, LLM monitoring and observability, fine-tuning Llama 2, building LLM applications for production, framework for autonomous language agents, LEDITS, RT-2, DragDiffusion, ConsistentNeRF, MagicEdit, and more.
https://dataphoenix.info/data-phoenix-digest-issue-13-2023/

[News] Studio LLM is Galileo’s smarter solution for building and evaluating LLM apps
LLM Studio is Galileo’s latest offering for LLM training, evaluation, and monitoring. Consisting of three modules responding to the most common problems faced by developers, Galileo aims to make LLM Studio the all-in-one solution for model evaluation.
https://dataphoenix.info/studio-llm-is-galileos-smarter-solution-for-building-and-evaluating-llm-apps/

[News] Capsule is making video editing less intimidating for professional teams everywhere
Capsule is an AI-powered, browser-based video editor that aims to make video editing easier, faster, and less intimidating. With its user-friendly interface, AI-powered assistant, and soon-to-be-announced collaborative tools, Capsule is definitely a game-changer.
https://dataphoenix.info/capsule-is-making-video-editing-less-intimidating-for-professional-teams-everywhere/

[Articles] The Future of Parking Systems: Harnessing the Power of Technology
This article talks about future of smart parking system and the use of technology in order to enhance its user experience and sustainability.
https://dataphoenix.info/the-future-of-parking-systems-harnessing-the-power-of-technology/

[News] Webinar "High-performance RAG with LlamaIndex"
Greg Loughnane and Chris Alexiuk will discuss how to use hierarchical embeddings to return relevant context from a large dataset, as measured by context precision and context recall via the RAG ASsessment framework, and also show the impact of fine-tuning the embedding model on retrieval metrics.
https://dataphoenix.info/webinar-high-performance-rag-with-llamaindex/

[News] Elicit becomes a public benefit corporation after raising $9M in seed funding
Elicit, the AI-powered research assistant born at Ought, is now an independent public benefit corporation. After raising $9M in funding, they plan to keep on developing their service and expand their team.
https://dataphoenix.info/elicit-becomes-a-public-benefit-corporation-after-raising-9m-in-seed-funding/

[News] Orquesta announces successful 800,000 EUR pre-seed round
Orquesta had a successful pre-seed funding round, bringing home 800,000 EUR for the development of their innovative no-code platform for LLM integration into collaborative business operations. Orquesta's offerings will be mainly directed at the European market.
https://dataphoenix.info/orquesta-announces-successful-800-000-eur-pre-seed-round/

📢 We are live and starting Data Phoenix webinar "Trends and Applications of AI/ML and Analytics in Sports” with Rajesh Kumar (Assistant Professor at AI Research Centre, Woxsen University). Join us: https://www.youtube.com/live/w8DG0HAqwcA
#DataPhoenix #DataScience #MachineLearning #ArtificialIntelligence #AI #ML #webinar

[News] Lemurian Labs secures $9M to build a new AI computing paradigm
Lemurian Labs is taking a risk by planning to redesign AI computing to make it more effective, sustainable, and affordable for everyone. The company recently secured $9M in seed funding destined to release the software part of its stack.
https://dataphoenix.info/lemurian-labs-secures-9m-to-build-a-new-ai-computing-paradigm/

📢 We are live and starting Data Phoenix webinar "Gorilla: Large Language Model Connected with Massive APIs” with Shishir Patil (Ph.D. student at UC Berkeley). Join us: https://youtube.com/live/_2MGSt7owkM

Webinar "Large Language Models for Program Synthesis"
Join the Data Phoenix webinar in which Dmytro Spodarets and guest Xinyun Chen (Research Scientist at Google DeepMind) will talk about large language models for code generation.
https://dataphoenix.info/webinar-large-language-models-for-program-synthesis/

[News] The 2023 State of AI Report is out
The 2023 State of AI Report has just been released, containing an in-depth analysis of the current situation in the field spanning from research and industry to politics and safety. The report also features the team's prediction for the most exciting developments to be seen in the following year.
https://dataphoenix.info/the-2023-state-of-ai-report-is-out/

[News] London-based TitanML launches LLM solution Takeoff after raising $2.8M
TitanML is a London-based company that aims to make LLM deployment accessible to enterprise teams of all sizes. Their product, Takeoff, helps ML teams implement best practices that positively impact the cost-effectiveness of their deployments.
https://dataphoenix.info/london-based-titanml-launches-llm-solution-takeoff-after-raising-2-8m/

📢 We are live and starting Data Phoenix webinar "Large Language Models for Program Synthesis” with Xinyun Chen (Research Scientist at Google DeepMind). Join us: https://youtube.com/live/YTpextv7H-8

Webinar "Lessons Learned from Building a Managed RAG Solution"
Join the Data Phoenix webinar where Dmytro Spodarets and guest Denys Linkov (ML Lead at Voiceflow) will discuss technical and business lessons learned from building a managed Retrieval Augmented Generation solution into Voiceflow.
https://dataphoenix.info/webinar-lessons-learned-from-building-a-managed-rag-solution/