a tiny summary of my research projects of 2023: Text Embeddings Reveal (Almost) As Much As Text EMNLP 2023, http://
arxiv.org/abs/2310.06816 Language Model Inversion ICLR 2024, http://
arxiv.org/abs/2311.13647 TreePrompting EMNLP 2023, http://
arxiv.org/abs/2310.14034
LLMS
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Research Advances in Text Embeddings Language Models and Prompting
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Anticipating voice-only AI interaction modes
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A new era! Looking forward to seeing a voice-only mode where you can talk with the cloud (like on mobile apps)
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Anticipating voice-only AI modes for mobile interaction
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Looking forward to seeing a voice-only mode as it works on mobile apps where you can talk with the cloud
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Siri as Next Major Consumer AI Adoption Milestone
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I still think the next Siri will be the next ChatGPT moment for major consumer AI adoption.
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Vector Embeddings: Essential for LLM Applications and Real-Time Retrieval
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The popularity of LLMs has made vector embeddings popular and useful. You have to create embeddings for all of your data; whether that is text, speech or a mixture of both. With these embeddings, you also want the ability to retrieve them and send it to an LLM in real time.
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LlamaIndex Integration and Multimodal AI Features Announced
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What's next? 1. Integration with @llama_index 2. Multi Modal (image + audio)
3. Workflow builder
4. Evaluation
…and much more! We remain commited to our mission, serving developers and builders in building GenAI apps across different industries. Stay tuned! -
MLX Framework LoRA Implementation Guide Available
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Yeah you can find all in the repo! https://
github.com/ml-explore/mlx
-examples/blob/main/llms/mlx_lm/LORA.md
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Google’s Bard Rebranded as Gemini: What We Know
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Covered https://
testingcatalog.com/googles-bard-t
o-be-rebranded-as-gemini-what-we-know-so-far/
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Time-LLM: Forecasting Time Series with Large Language Models
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Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Jin et al.: https://
arxiv.org/abs/2310.01728 #ArtificialIntelligence #DeepLearning #MachineLearning