2/ The Rise and Potential of LLM Based Agents – a comprehensive overview of LLM based agents; covers from how to construct these agents to how to harness them for good.
@dair_ai
-
EvoDiff: Diffusion Models for Controllable Protein Generation
By
–
3/ EvoDiff – combines evolutionary-scale data with diffusion models for controllable protein generation in sequence space; it can generate proteins inaccessible to structure-based models.https://t.co/8XhjIfeAOT
— DAIR.AI (@dair_ai) 17 septembre 20233/ EvoDiff – combines evolutionary-scale data with diffusion models for controllable protein generation in sequence space; it can generate proteins inaccessible to structure-based models.
-
FaceChain: Personalized Portrait Generation Framework Using AI
By
–
9/ FaceChain – a personalized portrait generation framework combining customized image-generation models and face-related perceptual understanding models to generate truthful personalized portraits; it works with a handful of portrait images as input.
-
Qwen-VL: Advanced Vision-Language Model for Multiple Tasks
By
–
10/ Qwen-VL – introduces a set of large-scale vision-language models demonstrating strong performance in tasks like image captioning, question answering, visual localization, and flexible interaction.
-
Nougat: Neural Optical Document Understanding for Academic PDFs
By
–
6/ Nougat – proposes an approach for neural optical understanding of academic documents; it supports the ability to extract text, equations, and tables from academic PDFs, i.e., convert PDFs into LaTeX/markdown.
-
FacTool: Detecting Factual Errors in LLM Generated Text
By
–
7/ Factuality Detection in LLMs – proposes a tool called FacTool to detect factual errors in texts generated by LLMs; shows the necessary components needed and the types of tools to integrate with LLMs for better detecting factual errors.
-
AnomalyGPT: Industrial Anomaly Detection Vision-Language Model
By
–
8/ AnomalyGPT – an approach for industrial anomaly detection based on large vision-language models; it simulates anomalous images and textual descriptions to generate training data; employs an image decoder and prompt learner to detect anomalies.
-
MVDream: Multi-View Diffusion Model for 3D Image Generation
By
–
5/ MVDream – a multi-view diffusion model that can generate geometrically consistent multi-view images given a text prompt; it leverages pre-trained diffusion models and a multi-view dataset rendered from 3D assets.https://t.co/wlsC7DRViB
— DAIR.AI (@dair_ai) 3 septembre 20235/ MVDream – a multi-view diffusion model that can generate geometrically consistent multi-view images given a text prompt; it leverages pre-trained diffusion models and a multi-view dataset rendered from 3D assets.
-
Graph of Thoughts: Network Reasoning Approach for LLMs
By
–
4/ Graph of Thoughts – a prompting approach that models text generated by LLMs as an arbitrary graph; enables combining arbitrary "thoughts" and enhancing them using feedback loops; the core idea is to enhance the LLMs through "network reasoning".
-
Large Language and Speech Model Enables Natural Conversational AI
By
–
1/ Large Language and Speech Model – proposes a large language and speech model trained with cross-modal conversational abilities that supports speech-and-language instruction enabling more natural interactions with AI systems.