📢 We are live and starting Data Phoenix webinar "LlamaIndex: How to use LLMs to Interface with Multiple Data Sources” with Greg Loughnane (Founder of AI Makerspace), Chris Alexiuk (Instructor at FourthBrain). Join us: https://youtube.com/live/rIsZCtaWo5o
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Webinar "LlamaIndex: How to use LLMs to Interface with Multiple Data Sources"
Ask questions - https://app.sli.do/event/bz9aFJKJVhQjjtYDHVGc5n
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Data Phoenix…
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📢️️️️:We are live and starting Data Phoenix webinar "Best practices for building LLM-based applications” with Kacper Łukawski (Developer Advocate at Qdrant).
Join us: https://youtube.com/live/9HliLzKVrQ8
Join us: https://youtube.com/live/9HliLzKVrQ8
YouTube
Webinar "Best practices for building LLM-based applications"
Join the Data Phoenix Slack community: https://join.slack.com/t/data-phoenix/shared_invite/zt-115lu0xo1-KhDX_4xAyEd4JiuiUZ3ieQ
Subscribe to Data Phoenix Digest: https://dataphoenix.info/subscribe/
Data Phoenix team invites you all to our upcoming "The A…
Subscribe to Data Phoenix Digest: https://dataphoenix.info/subscribe/
Data Phoenix team invites you all to our upcoming "The A…
Webinar "Leveraging Large Language Models for Enterprise Usage"
Join the Data Phoenix webinar in which Dmytro Spodarets, together with guest Zenodia Charpy (Senior Deep Learning Data Scientist, NVIDIA), will dive into foundation and ChatGPT-style models, generative AI and LLM technology at NVIDIA, shortcomings, and proposed guardrails, and the road ahead.
https://dataphoenix.info/webinar-leveraging-large-language-models-for-enterprise-usage/
Join the Data Phoenix webinar in which Dmytro Spodarets, together with guest Zenodia Charpy (Senior Deep Learning Data Scientist, NVIDIA), will dive into foundation and ChatGPT-style models, generative AI and LLM technology at NVIDIA, shortcomings, and proposed guardrails, and the road ahead.
https://dataphoenix.info/webinar-leveraging-large-language-models-for-enterprise-usage/
Webinar "Go Beyond Chatbot - Emerging Patterns in Generative AI Applications"
This talk will share some reference architectures and demos for emerging Generative AI applications and use cases.
https://dataphoenix.info/webinar-go-beyond-chatbot-emerging-patterns-in-generative-ai-applications/
This talk will share some reference architectures and demos for emerging Generative AI applications and use cases.
https://dataphoenix.info/webinar-go-beyond-chatbot-emerging-patterns-in-generative-ai-applications/
[Articles] Robotics in Education: Enhancing Classroom Engagement and Beyond
This article discusses the development of robots in education, as well as its many advantages, uses in the classroom, and inspirational success stories. Join us as we explore the fascinating world of robotics, where engagement and education smoothly combine.
https://dataphoenix.info/robotics-in-education-enhancing-classroom-engagement-and-beyond/
This article discusses the development of robots in education, as well as its many advantages, uses in the classroom, and inspirational success stories. Join us as we explore the fascinating world of robotics, where engagement and education smoothly combine.
https://dataphoenix.info/robotics-in-education-enhancing-classroom-engagement-and-beyond/
📢 We are live and starting Data Phoenix webinar "Leveraging Large Language Models for Enterprise Usage” with Zenodia Charpy (Senior Deep Learning Data Scientist at NVIDIA). Join us: https://youtube.com/live/2C-KN5gPJ0Q
YouTube
Webinar "Leveraging Large Language Models for Enterprise Usage"
Join the Data Phoenix Slack community: https://join.slack.com/t/data-phoenix/shared_invite/zt-115lu0xo1-KhDX_4xAyEd4JiuiUZ3ieQ
Subscribe to Data Phoenix Digest: https://dataphoenix.info/subscribe/
===================================
Organizations worldwide…
Subscribe to Data Phoenix Digest: https://dataphoenix.info/subscribe/
===================================
Organizations worldwide…
[News] Arthur Introduces 'Arthur Bench': A Revolutionary Open-Source Evaluation Tool for LLMs
Arthur released Arthur Bench, an open-source tool to help users find the best LLM for a particular data set by evaluating how different LLMs will perform in real-world scenarios.
https://dataphoenix.info/arthur-introduces-arthur-bench-a-revolutionary-open-source-evaluation-tool-for-llms/
Arthur released Arthur Bench, an open-source tool to help users find the best LLM for a particular data set by evaluating how different LLMs will perform in real-world scenarios.
https://dataphoenix.info/arthur-introduces-arthur-bench-a-revolutionary-open-source-evaluation-tool-for-llms/
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[News] RAG with Llama 2 and LangChain: Building with Open-Source LLM Ops
Learn from AI Makerspace team how to leverage the Llama 2 with LangChain to build the most popular type of LLM application — a Retrieval Augmented Generation (RAG) or Retrieval Augmented Question Answering (RAQA) system.
https://dataphoenix.info/rag-with-llama-2-and-langchain-building-with-open-source-llm-ops/
Learn from AI Makerspace team how to leverage the Llama 2 with LangChain to build the most popular type of LLM application — a Retrieval Augmented Generation (RAG) or Retrieval Augmented Question Answering (RAQA) system.
https://dataphoenix.info/rag-with-llama-2-and-langchain-building-with-open-source-llm-ops/
[News] Learn Machine Learning Engineering on a free course
Join DataTalks.Club course to get started with machine learning engineering.
https://dataphoenix.info/learn-machine-learning-engineering-on-a-free-course/
Join DataTalks.Club course to get started with machine learning engineering.
https://dataphoenix.info/learn-machine-learning-engineering-on-a-free-course/
[News] Workshop "Beyond ChatGPT: Build Your First LLM Application"
Join the workshop of our good friends (Greg Loughnane and Chris Alexiuk from AI Makerspace) to learn how to build your first LLM application using the OpenAI API, Chainlit, and Hugging Face Spaces.
https://dataphoenix.info/workshop-beyond-chatgpt-build-your-first-llm-application/
Join the workshop of our good friends (Greg Loughnane and Chris Alexiuk from AI Makerspace) to learn how to build your first LLM application using the OpenAI API, Chainlit, and Hugging Face Spaces.
https://dataphoenix.info/workshop-beyond-chatgpt-build-your-first-llm-application/
📢 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
Join us: https://youtube.com/live/npsbQ7QPf2o
Youtube
- YouTube
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
[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/
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/
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/
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[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/
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/
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[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/
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/
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/
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/
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[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/
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/
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/
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/
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[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/
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/
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