⚡️ DataPhoenix presented the new issue of the digest!
Fine-tune a Mistral-7b model with Direct Preference Optimization, How to Detect Hallucinations in LLMs, Efficient Scaling of LLM Inference, Tracking Any Object Amodally, On Noisy Evaluation in Federated Hyperparameter Tuning, StreamDiffusion, AnyText, FlexGen, and more.
https://dataphoenix.info/data-phoenix-digest-issue-1-2024/
Fine-tune a Mistral-7b model with Direct Preference Optimization, How to Detect Hallucinations in LLMs, Efficient Scaling of LLM Inference, Tracking Any Object Amodally, On Noisy Evaluation in Federated Hyperparameter Tuning, StreamDiffusion, AnyText, FlexGen, and more.
https://dataphoenix.info/data-phoenix-digest-issue-1-2024/
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[Articles] How to Build a Semantic Search Engine for Emojis
Emojis bridge the gap between text and images. To semantically search emojis, we need to utilize both modalities! Learn how to build your own semantic emoji search engine.
https://dataphoenix.info/how-to-build-a-semantic-search-engine-for-emojis/
Emojis bridge the gap between text and images. To semantically search emojis, we need to utilize both modalities! Learn how to build your own semantic emoji search engine.
https://dataphoenix.info/how-to-build-a-semantic-search-engine-for-emojis/
[News] Efficient LLM Inference and Serving with vLLM
Come and learn the basics of serving and inference of Large Language Models and how vLLM relieves memory bottlenecks that limit serving performance at scale!
https://dataphoenix.info/efficient-llm-inference-and-serving-with-vllm/
Come and learn the basics of serving and inference of Large Language Models and how vLLM relieves memory bottlenecks that limit serving performance at scale!
https://dataphoenix.info/efficient-llm-inference-and-serving-with-vllm/
[News] Quora raised $75M from Andreessen Horowitz to fund Poe and its monetization program
In its quest to accelerate the growth of its AI platform, Poe, and to make its chatbot creator program profitable for its users, Quora has raised $75M from Andreessen Horowitz. The company plans to dedicate most of the raised funds towards its creator monetization program
https://dataphoenix.info/quora-raised-75m-from-andreessen-horowitz-to-fund-poe-and-its-monetization-program/
In its quest to accelerate the growth of its AI platform, Poe, and to make its chatbot creator program profitable for its users, Quora has raised $75M from Andreessen Horowitz. The company plans to dedicate most of the raised funds towards its creator monetization program
https://dataphoenix.info/quora-raised-75m-from-andreessen-horowitz-to-fund-poe-and-its-monetization-program/
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Ramon Perez (Developer Advocate at Seldon) will discuss different machine learning deployment strategies available today for both traditional ML systems and Large Language Models.
Register - https://bit.ly/47BSYHD
Register - https://bit.ly/47BSYHD
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𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗛𝘂𝗺𝗮𝗻𝗼𝗶𝗱 𝗟𝗼𝗰𝗼𝗺𝗼𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
A team of scientists from the University of California, Berkeley has created a unique robot characterized by its ability to move efficiently by mimicking the human gait. The development of robots that imitate human movement will open new horizons in felds such as assisting people with disabilities and automating labor-intensive processes by inspiring more adaptable and functional solutions to issues within them.
How would a human-like robot be useful in your daily life?
Discover what technologies were essential to this success on the project page - https://bit.ly/48QbD41
A team of scientists from the University of California, Berkeley has created a unique robot characterized by its ability to move efficiently by mimicking the human gait. The development of robots that imitate human movement will open new horizons in felds such as assisting people with disabilities and automating labor-intensive processes by inspiring more adaptable and functional solutions to issues within them.
How would a human-like robot be useful in your daily life?
Discover what technologies were essential to this success on the project page - https://bit.ly/48QbD41
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We are happy to announce an opportunity for the exchange of knowledge and tools that can simplify our professional lives. If you know of or have created a service that can benefit our community of Data Scientists and ML Engineers, please share it with us!
🔥 If you have any promo codes or discounts for these services, now is the perfect time to share them!
🔗 Please, fill out this Google form with information about your service, including a brief denoscription, and any special offers. https://bit.ly/3u1lOmQ
Your support can significantly change our community.
🔥 If you have any promo codes or discounts for these services, now is the perfect time to share them!
🔗 Please, fill out this Google form with information about your service, including a brief denoscription, and any special offers. https://bit.ly/3u1lOmQ
Your support can significantly change our community.
⚡️ DataPhoenix presented the new issue of the digest!
Latest AI News, A Simple CI/CD Setup for ML Projects, Fine-tune and Deploy Llama 2 Models Cost-Effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium, A Comprehensive Overview of Gaussian Splatting, Self-Rewarding Language Models, PhotoMaker, 4DGen, SiLK, and more.
https://dataphoenix.info/data-phoenix-digest-issue-2-2024/
Latest AI News, A Simple CI/CD Setup for ML Projects, Fine-tune and Deploy Llama 2 Models Cost-Effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium, A Comprehensive Overview of Gaussian Splatting, Self-Rewarding Language Models, PhotoMaker, 4DGen, SiLK, and more.
https://dataphoenix.info/data-phoenix-digest-issue-2-2024/
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📢 We are live and starting Data Phoenix webinar "A Whirlwind Tour of ML Model Serving Strategies (Including LLMs)" with Ramon Perez (Developer Advocate at Seldon). Join us: https://bit.ly/3UgHXbA
https://bit.ly/3UgHXbA
https://bit.ly/3UgHXbA
YouTube
Webinar "A Whirlwind Tour of ML Model Serving Strategies (Including LLMs)"
Ask your questions using Slido: https://app.sli.do/event/tWvqbHXw7Exv7SGoqsPTUu
===========================
Join the Data Phoenix Slack community: https://join.slack.com/t/data-phoenix/shared_invite/zt-115lu0xo1-KhDX_4xAyEd4JiuiUZ3ieQ
Subscribe to…
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Join the Data Phoenix Slack community: https://join.slack.com/t/data-phoenix/shared_invite/zt-115lu0xo1-KhDX_4xAyEd4JiuiUZ3ieQ
Subscribe to…
𝗕𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝗖𝗼𝗱𝗲: The Father of AI
His lab's Deep Learning Neural Networks based on ideas published in the "Annus Mirabilis" 1990-1991 have revolutionised machine learning and AI. By the mid 2010s, they were on 3 billion devices, and used billions of times per day through users of the world's most valuable public companies, e.g., for greatly improved (CTC-LSTM-based) speech recognition on all Android phones, greatly improved machine translation through Google Translate and Facebook (over 4 billion LSTM-based translations per day), Apple's Siri and Quicktype on all iPhones, the answers of Amazon's Alexa, and numerous other applications.
He is recipient of numerous awards, author of over 350 peer-reviewed papers, and Chief Scientist of the company NNAISENSE, which aims at building the first practical general purpose AI. He is a frequent keynote speaker, and advising various governments on AI strategies.
His lab's Deep Learning Neural Networks based on ideas published in the "Annus Mirabilis" 1990-1991 have revolutionised machine learning and AI. By the mid 2010s, they were on 3 billion devices, and used billions of times per day through users of the world's most valuable public companies, e.g., for greatly improved (CTC-LSTM-based) speech recognition on all Android phones, greatly improved machine translation through Google Translate and Facebook (over 4 billion LSTM-based translations per day), Apple's Siri and Quicktype on all iPhones, the answers of Amazon's Alexa, and numerous other applications.
He is recipient of numerous awards, author of over 350 peer-reviewed papers, and Chief Scientist of the company NNAISENSE, which aims at building the first practical general purpose AI. He is a frequent keynote speaker, and advising various governments on AI strategies.
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[News] Optimus or Terminator? This robot from Tesla stands out from others with its exceptional ability to learn on its own, adapt to the environment, and interact with people. Top 3 qualities: 1) Advanced AI for complex problem-solving. 2) Seamless integration into daily life. 3) High safety standards.
Will such a routine robot lead to a robotics revolution?
Will such a routine robot lead to a robotics revolution?
Data Phoenix: "This week in AI".
🔸 The Federal Trade Commission (FTC) issued 6(b) Orders to Alphabet Inc., Amazon, Anthropic, Microsoft and OpenAI
🔸 OpenDialog AI raised over $8M from AlbionVC and Dowgate Capital to keep bringing generative AI automation to regulated industries
🔸 DXwand, a startup developing a conversational AI platform that serves the MENA region, raised $4M in Series A funding from Shorooq Partners, Algebra Ventures and Dubai Future District Fund.
🔸 Lumiere: a space-time diffusion model that generates videos featuring coherent, realistic, and diverse motion
🔸 ElevenLabs closes $80M Series B round from Andreessen Horowitz, Nat Friedman, Daniel Gross, Sequoia Capital, Smash Capital, SVA, BroadLight Capital, Credo Ventures and releases new AI-powered voice products
🔸 AiDash raised $50M from Lightrock and previous investors to continue making critical infrastructure climate-resilient and sustainable
This week in AI: January 21-26 𝗳𝘂𝗹𝗹 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 -> https://bit.ly/3Ui0hRR
🔸 The Federal Trade Commission (FTC) issued 6(b) Orders to Alphabet Inc., Amazon, Anthropic, Microsoft and OpenAI
🔸 OpenDialog AI raised over $8M from AlbionVC and Dowgate Capital to keep bringing generative AI automation to regulated industries
🔸 DXwand, a startup developing a conversational AI platform that serves the MENA region, raised $4M in Series A funding from Shorooq Partners, Algebra Ventures and Dubai Future District Fund.
🔸 Lumiere: a space-time diffusion model that generates videos featuring coherent, realistic, and diverse motion
🔸 ElevenLabs closes $80M Series B round from Andreessen Horowitz, Nat Friedman, Daniel Gross, Sequoia Capital, Smash Capital, SVA, BroadLight Capital, Credo Ventures and releases new AI-powered voice products
🔸 AiDash raised $50M from Lightrock and previous investors to continue making critical infrastructure climate-resilient and sustainable
This week in AI: January 21-26 𝗳𝘂𝗹𝗹 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 -> https://bit.ly/3Ui0hRR
[News] Competera raises $3M in successful seed round to scale and enhance its AI pricing services.
Competera, a startup specializing in developing AI-powered price optimization services for retailers worldwide, recently closed a $3M seed funding round from STRATMINDS, Flyer One Ventures, Verras Capital, SMRK Fund, Transform Partners Fund, and a group of angel investors. Competera plans to use the funds to further its AI capabilities, expand its services, and keep up with demand, especially in the US market.
https://bit.ly/4bepYsv
Competera, a startup specializing in developing AI-powered price optimization services for retailers worldwide, recently closed a $3M seed funding round from STRATMINDS, Flyer One Ventures, Verras Capital, SMRK Fund, Transform Partners Fund, and a group of angel investors. Competera plans to use the funds to further its AI capabilities, expand its services, and keep up with demand, especially in the US market.
https://bit.ly/4bepYsv
Data Phoenix
Competera raises $3M in successful seed round to scale and enhance its AI pricing services
Competera, a startup specializing in developing AI-powered price optimization services for retailers worldwide, recently closed a $3M seed funding round. Competera plans to use the funds to further its AI capabilities, expand its services, and keep up with…
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[News] AlphaCodium: a new state-of-the-art approach to code generation problems
AlphaCodium is a code generation flow that improves the performance of LLMs without requiring fine-tuning. The flow can be used with closed and open-source models and was released with reproducible code and an evaluation noscript, enabling reproducible comparisons.
https://dataphoenix.info/alphacodium-a-ne/
AlphaCodium is a code generation flow that improves the performance of LLMs without requiring fine-tuning. The flow can be used with closed and open-source models and was released with reproducible code and an evaluation noscript, enabling reproducible comparisons.
https://dataphoenix.info/alphacodium-a-ne/
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[News] The Art of RAG Evaluation
Join AI Makerspace for a special event on RAG!
Deep dive into the art of evaluating complex LLM applications that leverage Retrieval Augmented Generation (RAG), the technique that aims to ground the outputs of LLMs in fact-checkable information.
https://dataphoenix.info/the-art-of-rag-evaluation/
Join AI Makerspace for a special event on RAG!
Deep dive into the art of evaluating complex LLM applications that leverage Retrieval Augmented Generation (RAG), the technique that aims to ground the outputs of LLMs in fact-checkable information.
https://dataphoenix.info/the-art-of-rag-evaluation/
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[News] Semron is developing chips that enable consumer electronics to run AI models locally
Semron's chips use capacitors with a memory component. The capacitor's heat-reducing capabilities enable the building of multiple layers of capacitors on a chip, yielding a reduced footprint. The memory component diminishes the noise in calculations, accounting for the chips' energetic efficiency.
https://dataphoenix.info/semron-is-developing-chips-that-enable-consumer-electronics-to-run-ai-models-locally/
Semron's chips use capacitors with a memory component. The capacitor's heat-reducing capabilities enable the building of multiple layers of capacitors on a chip, yielding a reduced footprint. The memory component diminishes the noise in calculations, accounting for the chips' energetic efficiency.
https://dataphoenix.info/semron-is-developing-chips-that-enable-consumer-electronics-to-run-ai-models-locally/
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𝗔𝗜 𝗶𝗻 𝟮𝟬𝟮𝟯: 𝗔 𝗕𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗬𝗲𝗮𝗿 - Dive into the fascinating world of AI with DataPhoenix's 2023 Year in Review! This concise summary highlights a year of innovation: from GPT-4's impact to Anthropic's strides, Google Bard's evolution, and the rise of multimodal AI models. A must-read to grasp how AI is reshaping our world. Check out the full story on our site and join the AI revolution.
https://dataphoenix.info/ai-in-2023-a-year-in-review/
https://dataphoenix.info/ai-in-2023-a-year-in-review/
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[News] The Allen Institute for AI (AI2) released OLMo 7B and the OLMo framework
AI2 is committed to releasing genuinely open-source models. This means that the model, the pre-training data, training code, model weights, training metrics, and all other data related to the models' development will be released under an Apache 2.0 license.
https://dataphoenix.info/the-allen-institute-of-ai-released-olmo/
AI2 is committed to releasing genuinely open-source models. This means that the model, the pre-training data, training code, model weights, training metrics, and all other data related to the models' development will be released under an Apache 2.0 license.
https://dataphoenix.info/the-allen-institute-of-ai-released-olmo/
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[News] Fine-Tuning OLMo the Open Language Model
AI Makerspace is hosting a deep dive into the OLMo series of models, including a discussion of the Dolma pre-training dataset as the model architectures leveraged for each of the three newly released versions: OLMo-1B, OLMo-7B, and OLMo-7B-Twin-2T!
https://dataphoenix.info/fine-tuning-olmo-the-open-language-model/
AI Makerspace is hosting a deep dive into the OLMo series of models, including a discussion of the Dolma pre-training dataset as the model architectures leveraged for each of the three newly released versions: OLMo-1B, OLMo-7B, and OLMo-7B-Twin-2T!
https://dataphoenix.info/fine-tuning-olmo-the-open-language-model/
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