"As #RektBird readies for takeoff, early #AGI unfurls like a spring bloom, a beacon of hope guiding us to grow and soar. Let #ArtificialGeneralIntelligence be the wind beneath our wings, transcending boundaries in a future of boundless potential." #AGIFirst #MontrealAI
INNOVATION
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Support for KerasNLP contributions and collaborative development
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Yes, definitely. Would be happy to support you with that as part of KerasNLP if you're interested in contributing this.
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GPT-4 Strengths and Weaknesses Analysis Thread
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Here's a fascinating thread about some of the strengths and weaknesses of GPT-4. Overall, it's pretty impressive!
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Democratizing AI Knowledge: Breaking Down Gatekeeper Barriers
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Not gatekeeping AI (or rather DL), which is surprisingly friendly in terms of how simple the math is that will let you get a grasp on the macro-relevant issues; gatekeeping the gatekeepers, who ought not to be allowed to gatekeep something so easy.
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Building More in the Open: Open Source Development Approach
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Yeah, maybe that's better than the alternative. More stuff built in the open?
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Local LLMs on Gaming GPUs: Cost and Future Potential
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Currently it’s not, it would costs dollars per hour per player. But I expect this will change soon when small but capable LLMs will run locally on player’s GPU.
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Pre-trained LLMs for NPC Game Control via Prompting
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You need pre-trained LLM which doesn’t need to be fine-tuned for this game (e.g. GPT3.5) and you prompt it with NPC’s observations, personality traits, memories and description of possible game actions/goals.
This is the principle. Then the devil is in the details… to make it -
Pythia: Suite for Analyzing LLMs Across Training and Scaling
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9/ Pythia – a suite for analyzing LLMs across training and scaling; includes 16 LLMs trained on public data and ranging in size from 70M to 12B parameters.
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SegGPT: Generalist Segmentation Model with In-Context Learning
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10/ SegGPT – unifies segmentation tasks into a generalist model through an in-context framework that supports different kinds of data.https://t.co/PiocmACjfo
— DAIR.AI (@dair_ai) 9 avril 202310/ SegGPT – unifies segmentation tasks into a generalist model through an in-context framework that supports different kinds of data.
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Self-Improving Code LLMs Boost Performance Through Synthetic Data
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7/ Self-Improving Code LLMs- generates pseudo data from knowledge gained through pre-training & fine-tuning; adds the data to the training dataset for the next step; shows that different code generation frameworks can be improved in performance.