DeepLearning.AI @DeepLearningAI
We are an education technology company with the mission to grow and connect the global AI community. DeepLearning.AI United States Joined May 2018-
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A new wave of audio generators is exciting music fans, allowing users to make synthetic songs with vocals in various popular styles. Find all the details in #TheBatch ⬇️ hubs.la/Q02v9fSr0
The world of AI is buzzing this week! Check out the latest in Data Points: @Meta released Llama 3 and expanded its AI assistant to Instagram, Facebook, WhatsApp, and Messenger. Also, @cohere introduced Rerank 3 for enterprise search. Find more stories: hubs.la/Q02v5LsY0
I swear it's not 😉 Original by Oroberos on Reddit.
This week's AI news: 🎵 Text-to-song tools for customized tunes 📊 Benchmarks for LLMs in law and taxes 🎥 Video diffusion enhances 3D modeling Plus: @AndrewYNg on why we need more compute for inference. Read #TheBatch: hubs.la/Q02t_1hB0
Learn all about LLMOps in this short course built in collaboration with @googlecloud. Explore the LLMOps pipeline for pre-processing data, fine-tuning LLMs, and deploying a custom LLM tailored to your application. Enroll now: hubs.la/Q02tWVVP0
Meta researchers developed RA-DIT, a fine-tuning method that enhances the performance of large language models (LLMs) using retrieval augmented generation (RAG). Read our summary of the paper in #TheBatch: hubs.la/Q02tRXVK0
In the short course “Getting Started With Mistral,” taught by @sophiamyang, you’ll access @MistralAI's collection of open source and commercial models, including the latest Mixtral 8x22B. Check it out and share it with a friend! 👉 hubs.la/Q02tRQWR0
An investigation by TechCrunch revealed what seem to be numerous policy violations within OpenAI's GPT Store. Some offerings allegedly bypass OpenAI's safeguards by promoting academic dishonesty and unauthorized use of trademarked characters. Learn more: hubs.la/Q02tJst40
It's a great honor to partner with @AndrewYNg @DeepLearningAI on this @MistralAI course. Super excited for the launch!
It's a great honor to partner with @AndrewYNg @DeepLearningAI on this @MistralAI course. Super excited for the launch!
A researcher at Lasso Security highlighted a risk where large language models might guide developers to download and install software packages using incorrect commands, potentially opening the door to security breaches. Learn more in #TheBatch: hubs.la/Q02twyPM0
Which AI concept do you find most difficult to explain to coworkers, bosses, and family members?
Google introduced Vertex AI Agent Builder, a platform that enables the easy creation of autonomous agents with little to no coding required. Find all the details in #TheBatch: hubs.la/Q02tggRw0
In this week’s Data Points, find new model and feature releases from @Google, @Microsoft, @MistralAI, @OpenAI, and @Spotify, plus AI art projects and government investments. Read your short-form digest of this week’s AI news now: hubs.la/Q02tgqHc0
🤷 Original by GihanZ on Reddit.
This week’s AI news: 🔸Google’s toolkit to build autonomous agents 🔸Newfound risks in AI-generated code 🔸All about RA-DIT, a new fine-tuning method Plus: Andrew Ng discusses multi-agent collaboration, a key AI agentic design pattern. Read #TheBatch: hubs.la/Q02tf_Pw0
In Quantization Fundamentals with @huggingface, you'll learn how to quantize open source models, to make them more accessible and efficient. You’ll get hands-on and practice by quantizing open source multimodal and language models. Start now! ➡️ hubs.la/Q02t8Mxd0
Emad Mostaque resigned as CEO of Stability AI, the creator of Stable Diffusion, amidst revenue shortfalls, decreasing confidence from investors, and departure of key personnel. Find out more details in #TheBatch: hubs.la/Q02t48690
LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable…
Researchers from @CarnegieMellon and @Princeton introduced the Mamba architecture, an approach that challenges traditional transformers in processing efficiency and memory usage. Read our summary of the paper in #TheBatch ⬇️ hubs.la/Q02sWTCB0
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New free beginner friendly @huggingface course on @DeepLearningAI! 👨🎓🚀 As models get bigger, we need to find new efficient ways to make them accessible and practical 👀. Quantization Fundamentals with Hugging Face is a new 1-hour free course. 🆓 deeplearning.ai/short-courses/… Join…
@sophiamyang @AndrewYNg @DeepLearningAI @MistralAI Ok i'm in
New short course with @MistralAI ! Mistral's open-source Mixtral 8x7B model uses a "mixture of experts" (MoE) architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks (8 in this case), with a gating network selecting two experts at…
It's a great honor to partner with @AndrewYNg @DeepLearningAI on this @MistralAI course. Super excited for the launch!
New short course with @MistralAI ! Mistral's open-source Mixtral 8x7B model uses a "mixture of experts" (MoE) architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks (8 in this case), with a gating network selecting two experts at…
I am so honored to be honored by @DeepLearningAI ! This is such a great accomplishment for me. I am so thankful for the opportunity to work with @DeepLearningAI and continue to push the agenda of expanding the pool of knowledge in the AI community! #ArtificialIntelligence
Officially a graduate of the "Machine Learning Specialization"! 🎓🤖 Massive gratitude to my all time fav @AndrewYNg (and @DeepLearningAI) for their invaluable teachings 🌟🙏 Excited to share some key takeaways from the course, dive in with me! 👇
LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable…
Weekend course alert: "Knowledge Graphs for RAG" by @DeepLearningAI and #Neo4j The course will help you use #KnowledgeGraphs to uncover deeper insights into your data and enhance the performance of #LLMs with structured, relevant context. bit.ly/3JdRQ2Z #RAG #GenAI
Huge shoutout to Matt Robinson, our Head of Product at unstructured.io for a masterclass on ingestion and preprocessing. Matt has more hands on experience than anyone else I know building ingestion and preprocessing pipelines for ML architectures and pulled together…
Introducing Preprocessing Unstructured Data for LLM Applications, a short course in collaboration with @UnstructuredIO! Learn techniques for handling unstructured data, including images, tables, and documents like PDF and PowerPoint. Join today: hubs.la/Q02skXyY0
If you are building RAGs for enterprise data, do screen this course. #geneai #llms #rags #unstructured
Join "Preprocessing Unstructured Data for LLM Applications" today: hubs.la/Q02skXyY0
Real-world data comes in many formats, such as PDF, HTML, Powerpoint, markdown, etc. Creating preprocessing pipelines for each of these file formats to enrich your RAG system can result in widely different content structures, unaligned chunking strategies, and unnecessary costs.…
Introducing Preprocessing Unstructured Data for LLM Applications, a short course in collaboration with @UnstructuredIO! Learn techniques for handling unstructured data, including images, tables, and documents like PDF and PowerPoint. Join today: hubs.la/Q02skXyY0
Data preprocessing is critical for building effective RAG systems. Our new short course, Preprocessing Unstructured Data for LLM Applications, taught by @mrobinson0623 of @UnstructuredIO, demonstrates important but sometimes overlooked aspects of RAG systems: - How to extract…
@huggingface @DeepLearningAI I enjoy a lot with this learn.deeplearning.ai/accomplishment…
I'm thrilled to share that I’ve obtained a new certification: Supervised Machine Learning: Regression and Classification from @DeepLearningAI @Stanford Thanks to the amazing instructor @AndrewYNg . This accomplishment marks a significant milestone in my #LearnInPublic journey
New course on LLM Red Teaming with @AndrewYNg is now live 🤯 Large Language Models (LLMs) have increased their use in enterprise applications, including RAG-based chatbots, but they can have vulnerabilities. Proactively identifying and addressing these issues is crucial to…
🔴 New short course built in collaboration with @giskard_ai: Red Teaming LLM Applications. Learn industry-proven red teaming techniques to proactively test, attack, and improve the robustness of your LLM apps. Join now: hubs.la/Q02rFRvB0
Learn to carry out red teaming attacks against your own LLM-based applications to spot and patch vulnerabilities! In our new short course, Red Teaming LLM Applications, Matteo Dora & Luca Martial of LLM testing company @giskard_ai teach how to simulate malicious actions to…
Okay. Here is my #learning journey via @DeepLearningAI on #Machine_Learning #ArtificialIntelligence #ChatGPT . Share yours Do #Connect with me if you are interested in same fields.
Excited to announce that I've successfully completed all three courses in the Machine Learning Specialization by @DeepLearningAI Now, shifting gears to focus on hands-on project building. Can't wait to apply my newfound skills in real-world scenarios! #MachineLearning
Why are these lectures so good?! Amazing short courses, to the point talk with practical Hands-on. What else do you need? 😁. Happy Coding...😎🧑💻. @DeepLearningAI
Building RAG in a notebook is easy, but how does this translate into a usable full-stack application (backend/API setup, frontend)? Our brand-new @DeepLearningAI course is the first of its kind 🔥 - instead of (only) learning RAG techniques, learn how to build an entire web…
New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by @seldo, VP of Developer Relations at @llama_index and npm co-founder. - Build a RAG application for querying your own data - Develop tools to…
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