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LLMs for Everyone: Running the LLaMA-13B model and LangChain in Google Colab | by Dmitrii Eliuseev | Jan, 2024

Data ScienceJanuary 5, 202498Views 0Likes 0Comments

Experimenting with Large Language Models for free (Part 2) Photo by Glib Albovsky, UnsplashIn the first part of the story, we used a free Google Colab instance to run a Mistral-7B model and extract information using the FAISS (Facebook AI Similarity Search) database. In this part, we will go further, and I will show how…

Future-Proof Your Finance Function

NanonetsJanuary 5, 202490Views 0Likes 0Comments

Transformative technologies such as enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management (SCM) systems have brought productivity breakthroughs that have dramatically improved business performance. The finance function has reaped benefits from these advances but there’s much more to come. The next wave of transformation is upon us, and it involves transactions…

How Multimodality Makes LLM Alignment More Challenging

Data AnalyticsJanuary 5, 2024100Views 0Likes 0Comments

Image by Gerd Altmann from Pixabay About a month ago OpenAI announced that ChatGPT can now see, hear, and speak. This means the model can help you with more everyday tasks. For example, you can upload a picture of the contents of your fridge and ask for meal ideas to prepare with the…

This AI Paper from UT Austin and Meta AI Introduces FlowVid: A Consistent Video-to-Video Synthesis Method Using Joint Spatial-Temporal Conditions

AI NewsJanuary 5, 2024111Views 0Likes 0Comments

In the domain of computer vision, particularly in video-to-video (V2V) synthesis, maintaining temporal consistency across video frames has been a persistent challenge. Achieving this consistency is crucial for synthesized videos’ coherence and visual appeal, which often combine elements from varying sources or modify them according to specific prompts. Traditional methods in this field have heavily…

Accelerating fusion science through learned plasma control

OpenAIJanuary 5, 202489Views 0Likes 0Comments

Research Published …

Top 30 GitHub Python Projects At The Beginning Of 2024 | by Christopher Tao | Towards Data Science

Data ScienceJanuary 5, 202490Views 0Likes 0Comments

Repositories with the most stars! Happy New Year 2024! As the first post in the new year, just like what I did before, I’m very curious about what were the most popular Python projects so far. GitHub is definitely the most suitable place to have these statistics. Although not all the open-sourced projects will be…

Using Lightning AI Studio For Free

Data AnalyticsJanuary 4, 2024109Views 0Likes 0Comments

Image by Author In this post, we will be learning about a new Cloud IDE that is both free and user-friendly. It is an upgraded version of Google Colab that allows you to save your projects, use essential plugins, and run generative models on GPU for free. Lightning AI Studio is…

Google and MIT Researchers Introduce Synclr: A Novel AI Approach for Learning Visual Representations Exclusively from Synthetic Images and Synthetic Captions without any Real Data

AI NewsJanuary 4, 2024114Views 0Likes 0Comments

Raw and frequently unlabeled data can be retrieved and organized using representation learning. The ability of the model to develop a good representation depends on the quantity, quality, and diversity of the data. In doing so, the model mirrors the data’s inherent collective intelligence. The output is directly proportional to the input. Unsurprisingly, the most…

Shaping the future of advanced robotics

OpenAIJanuary 4, 202493Views 0Likes 0Comments

AutoRT, SARA-RT, and RT-Trajectory build on our historic Robotics Transformers work to help robots make decisions faster, and better understand and navigate their environments. Source link

Generating Synthetic Descriptive Data in PySpark | by Matt Collins | Jan, 2024

Data ScienceJanuary 4, 202477Views 0Likes 0Comments

Use various data source types to quickly generate text data for artificial datasets. Image generated with DALL-E 3In a previous article, we explored creating many-to-one relationships between columns in a synthetic PySpark DataFrame. This DataFrame only consisted of Foreign Key information and we didn’t produce any textual information that might be useful in a demo…