I’m taking a micro service inspired approach where every function is small but can be used in other functions. Having a whole bunch of baseline functions to use helps with reliability of the code gen. Level 3 should allows you create and debug those lower level functions upfront
MACHINE LEARNING
-
API Integration Skills for Data Science and LLM Workflows
By
–
One of the important skill for anyone entering in to #datascience is to learn how to interact with an API. While many #LLMs have capabilities to do critical tasks you just need to know how to integrate them in your workflow and evaluate.
-
NLP Algorithms Analyze Student Writing and Provide Educational Feedback
By
–
Captions: EMILY M. BENDER: (reading) "Natural language processing algorithms can analyze students' written work, identify grammatical errors, suggest improvements, and provide explanations to help them understand their mistakes." >>
-
Ask INDIAai: Comprehensive Technical AI Q&A Platform
By
–
Ask INDIAai is a platform designed to answer technical inquiries comprehensively. It caters to students, professionals, and the general public and offers a question-and-answer format addressing diverse topics related to artificial intelligence and technological advancements.
-
Fine-tuning Llama 3.2 Models Locally and in the Cloud
By
–
Here's how you can easily fine-tune latest llama 3.2 (1b and 3b) locally and on cloud:
-
AutoTrain: Versatile Machine Learning Tool for 20+ Tasks
By
–
All you need is AutoTrain: https://
github.com/huggingface/au
totrain-advanced
…
Supports 20+ tasks. Model files are yours. Works locally or on cloud. -
LLaVA-3D: Empowering Large Multimodal Models with 3D Awareness
By
–
LLaVA-3D
— AK (@_akhaliq) 27 septembre 2024
A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness
Recent advancements in Large Multimodal Models (LMMs) have greatly enhanced their proficiency in 2D visual understanding tasks, enabling them to effectively process and understand images and videos.… pic.twitter.com/pbyiLnBhr6LLaVA-3D A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness Recent advancements in Large Multimodal Models (LMMs) have greatly enhanced their proficiency in 2D visual understanding tasks, enabling them to effectively process and understand images and videos.
-
Lotus: Diffusion-Based Visual Foundation Model for Dense Prediction
By
–
Lotus Diffusion-based Visual Foundation Model for High-quality Dense Prediction Leveraging the visual priors of pre-trained text-to-image diffusion models offers a promising solution to enhance zero-shot generalization in dense prediction tasks. However, existing methods often
-
Robot Learning Object Manipulation Through Monocular 4D Reconstruction
By
–
Robot See Robot Do
— AK (@_akhaliq) 27 septembre 2024
Imitating Articulated Object Manipulation with Monocular 4D Reconstruction
Humans can learn to manipulate new objects by simply watching others; providing robots with the ability to learn from such demonstrations would enable a natural interface specifying… pic.twitter.com/TsvoduD2b0Robot See Robot Do Imitating Articulated Object Manipulation with Monocular 4D Reconstruction Humans can learn to manipulate new objects by simply watching others; providing robots with the ability to learn from such demonstrations would enable a natural interface specifying
-
EMOVA: Language Models with Multimodal Emotions and Expression
By
–
EMOVA
— AK (@_akhaliq) 27 septembre 2024
Empowering Language Models to See, Hear and Speak with Vivid Emotions
discuss: https://t.co/QifoJVP166
GPT-4o, an omni-modal model that enables vocal conversations with diverse emotions and tones, marks a milestone for omni-modal foundation models. However, empowering… pic.twitter.com/UBIT587NmlEMOVA Empowering Language Models to See, Hear and Speak with Vivid Emotions discuss: https://
huggingface.co/papers/2409.18
042
… GPT-4o, an omni-modal model that enables vocal conversations with diverse emotions and tones, marks a milestone for omni-modal foundation models. However, empowering