[News] OpenAI's Bug Bounty Program
OpenAI is doing an excellent job of partnering with security experts to ensure its systems are robust and secure.
https://dataphoenix.info/openais-bug-bounty-program/

[Event] MLOps Zoomcamp 2023 by DataTalks.Club
Join DataTalks.Club hands-on MLOps course and learn the must-know skills for the industry. The course will cover ML pipelines, experiment tracking, model deployment & monitoring, best practices, and more.
https://dataphoenix.info/mlops-zoomcamp-2023-by-datatalks-club/

[News] StableLM: Stability AI Language Models
With EleutherAI, a non-profit research hub, Stability AI had success in open-sourcing earlier language models, and their release of StableLM builds on that experience.
https://dataphoenix.info/stablelm-stability-ai-language-models/

📢 We are live and starting Data Phoenix webinar "Evaluating XGBoost for balanced and Imbalanced datasets" with Gissel Velarde (Senior Data Scientist at Vodafone). Join us: https://www.youtube.com/live/T1fNx947_GI

[News] dstack 0.8: Local Hub, Hugging Face integration, and more
The new release of dstack contains Local Hub, which gives you access to a dashboard, job queue handling, secure cloud credential management, and more. In addition, now you can run dstack Hub on Hugging Face in one click.
https://dataphoenix.info/dstack-0-8-local-hub-hugging-face-integration-and-more/

[News] Ray 2.4.0: Infrastructure for LLM training, tuning, inference, and serving
The new Ray release features various enhancements, including updates to Ray data, which include stability, observability, and ease of use.
https://dataphoenix.info/ray-2-4-0-infrastructure-for-llm-training-tuning-inference-and-serving/

[News] Google introduces PaLM 2
Google has introduced its next-generation large language model PaLM 2, which offers improved multilingual, reasoning, coding capabilities, and more.
https://dataphoenix.info/google-introduces-palm-2/

[Papers] Neural Preset for Color Style Transfer
Neural Preset is a technique that uses AI to generate and transfer color styles. It can extract color styles from given reference images, store them as presets, and apply them to other images and videos, producing output with target color styles. Check it out!
https://dataphoenix.info/neural-preset-for-color-style-transfer/

[Articles] AI for India: How Cognitive Computing Can Transform Industries
AI with cognitive capabilities is transforming sectors in India, such as healthcare, education, logistics, and agriculture. Startups like Locus.sh, Qure.ai, Cuemath and AgroStar are leveraging AI to optimize operations, provide accurate diagnoses, personalize learning, and enhance farming practices.
https://dataphoenix.info/ai-for-india-how-cognitive-computing-can-transform-industries/

[News] Google I/O 2023 AI Updates
Here are a few highlights of several new AI tools and technologies which was announced on Google I/O 2023.
https://dataphoenix.info/google-io-2023-ai-updates/

[Papers] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
BundleSDF is a near real-time method for 6-DoF tracking of an unknown object from a monocular RGBD video sequence, while performing neural 3D reconstruction of the object. The method significantly outperforms existing approaches.
https://dataphoenix.info/bundlesdf-neural-6-dof-tracking-and-3d-reconstruction-of-unknown-objects/

[News] MosaicML Inference: Secure, Private, and Affordable Deployment for Large Models
With its Starter and Enterprise tiers, and support for multiple cloud platforms, it provides a flexible and secure solution for deploying large machine learning models.
https://dataphoenix.info/mosaicml-inference-secure-private-and-affordable-deployment-for-large-models/

[News] AI2 is developing a large language model called AI2 OLMo
AI2 announcing OLMo, an open language model at 70 billion parameters made by scientists, for scientists.
https://dataphoenix.info/ai2-is-developing-a-large-language-model-called-ai2-olmo/

[Papers] Segment Anything Model
SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training. The model was trained on Meta AI’s SA-1B dataset for 3-5 days on 256 A100 GPUs. Make sure that you try it!
https://dataphoenix.info/segment-anything-model/

[Event] 3rd International Conference on Artificial Intelligence and Knowledge Processing (AIKP'23)
School of Business, Woxsen University in collaboration with University of St. Thomas, MN, USA is organizing 3rd International Conference on Artificial Intelligence and Knowledge Processing - AIKP'23 (Scopus Indexed Conference) on 6th to 8th October 2023.
https://dataphoenix.info/3rd-international-conference-on-artificial-intelligence-and-knowledge-processing-aikp23/

⚡️ DataPhoenix presented the new issue of the digest!
Data Phoenix Digest is back every week after a short break, upcoming webinars about Lakehouse and LLM, video records of past webinars, GPT in 60 lines of NumPy, how to train your own LLM, SegGPT, PaLM-E, CodeT5+, StackLLaMA, and more.
https://dataphoenix.info/data-phoenix-digest-issue-6-2023/

📢 We are live and starting Data Phoenix webinar "Why you should move to a Lakehouse" with Swaroop Oggu (Senior Solutions Architect at Databricks). Join us: https://youtube.com/live/fkfe-GjW3OA

[News] Introducing Microsoft Fabric: Data analytics for the era of AI
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place.
https://dataphoenix.info/introducing-microsoft-fabric-data-analytics-for-the-era-of-ai/

[Papers] Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
This paper explores a new way of controlling GANs that includes "dragging" any points of the image to reach target points in a user-interactive manner - DragGAN. It can help to deform an image with precise control over where pixels go, thus manipulating the pose, shape, expression, etc.
https://dataphoenix.info/drag-your-gan-interactive-point-based-manipulation-on-the-generative-image-manifold/

[Startups] Anthropic AI Raises $450M
The funding will support continued work developing helpful, harmless, and honest AI systems—including Claude, an AI assistant that can perform a wide variety of conversational and text processing tasks.
https://dataphoenix.info/anthropic-ai-raises-450m/

[Papers] Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
QA4RE is a framework that aligns RE with question answering (QA). It enables LLMs to outperform strong zero-shot baselines by a large margin. This work illustrates a promising way of adapting LLMs to challenging tasks by aligning these tasks with more common instruction-tuning tasks like QA.
https://dataphoenix.info/aligning-instruction-tasks-unlocks-large-language-models-as-zero-shot-relation-extractors/