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Have you been looking for a better way to ground your LLM app to avoid hallucination? In this free 4-hour course [5], you will learn how to:
Google has released the weights for its Gemma 2B and 7B parameter models, available via HuggingFace. The models are decoder-only Transformers trained on 2T and 6T tokens. They substantially outperform Llama 2 on a wide range of benchmarks and come in base and instruction-tuned versions.
The language modeling group at Stanford released a widely used benchmark called Holistic Evaluation of Language Models (HELM). They also released a version for instruction following called HELM-Instruct. It is multidimensional, open-ended, and absolute.
Reddit has entered a licensing agreement worth approximately $60 million annually with an unnamed major AI company, granting the company access to its vast user-generated content.
Predibase released 25 narrow task-specific LoRAs that each outperform GPT-4 on specific tasks. These task-specific LoRAs are built onto the Mistral 7B model. This is another piece of evidence to support the ability of local models to perform exceptionally well on exact tasks.
ChartX is a new tool for testing multi-modal large language models (MLLMs) on their ability to interpret and reason with visual charts.
This repo challenges the effectiveness of combining supervised fine-tuning and reinforcement learning in training. Using a more advanced model like GPT-4 for initial training can outperform the more complex two-step method.
Meta has released the MMCSG dataset, which has thousands of two-sided conversations recorded via the Aria glasses, to encourage research in various social audio and visual tasks.
Lorax is an inference server that supports hot-swapping LoRAs onto a single base model. This means a dramatic decrease in RAM while supporting a wide range of model tunes.
This project introduces GTBench, a platform for testing LLMs like GPT-4 in various game scenarios to discover their strengths and weaknesses in strategic reasoning. While these models show promise in games based on probability, they struggle in deterministic games and vary in performance based on their design and training.
A diffusion model that can generate multiple views of an object and then stitch them together into a compelling 3D version.
AI is going to automate parts of the workforce. The reaction so far has been two-sided – will this efficiency mean the same humans can do more or will fewer humans do the same tasks? This article explores comparisons between the impact of tech on manufacturing and agriculture and what we’re seeing today with the modern knowledge worker.
ChatterBox is a vision-language model that excels in multimodal dialogues, specifically in the newly established task of multimodal multi-round referring and grounding.
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Apple is working on an updated version of Xcode that will include an AI tool for generating code.
Create 100+ high-performing ad variations with AI.
CrewAI offers a library for building and orchestrating AI agents that leverage LangChain and Replit. It provides a modular setup with agents, tasks, tools, and crews for easy integration into various projects. Debugging is simplified through LangSmith, which enhances performance insights into non-deterministic LLM calls.