tag :: llm | BibSonomy

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1Building an AI game studio: what we’ve learned so far - Braindump Incorporated
https://braindump.me/blog-posts/building-an-ai-game-studio
2 months ago by @bshanks
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game
llm
gamellm
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1GitHub Copilot Workspace Review
https://matduggan.com/reviewing-github-copilot-workspaces/
22 days ago by @bshanks
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llm
llm
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1Reproducing GPT-2 (124M) in llm.c in 90 minutes for $20 · karpathy/llm.c · Discussion #481 · GitHub
https://github.com/karpathy/llm.c/discussions/481
a month ago by @bshanks
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llm
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1Transformers.js – Run Transformers directly in the browser | Hacker News
https://news.ycombinator.com/item?id=40001193
3 months ago by @bshanks
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1I accidentally built a meme search engine | Hacker News
https://news.ycombinator.com/item?id=40015953
3 months ago by @bshanks
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1Mixtral 8x22B | Hacker News
https://news.ycombinator.com/item?id=40064736
3 months ago by @bshanks
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llm
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1Cheaper, Better, Faster, Stronger | Mistral AI | Frontier AI in your hands
https://mistral.ai/news/mixtral-8x22b/
3 months ago by @bshanks
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llm
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1Embeddings are a good starting point for the AI curious app developer
https://bawolf.substack.com/p/embeddings-are-a-good-starting-point
3 months ago by @bshanks
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llm
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1Answer.AI - You can now train a 70b language model at home
https://www.answer.ai/posts/2024-03-06-fsdp-qlora.html
4 months ago by @bshanks
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1Welcome to Double - Double, the AI Coding Copilot
https://docs.double.bot/introduction
4 months ago by @bshanks
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publications (hide)109
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2Generate then Retrieve: Conversational Response Retrieval Using LLMs as Answer and Query Generators
Z. Abbasiantaeb, and M. Aliannejadi. (2024)
2 months ago by @aditya.sharma
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llm
sparql
llmsparql
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2MusicLM: Generating Music From Text
A. Agostinelli, T. Denk, Z. Borsos, J. Engel, M. Verzetti, A. Caillon, Q. Huang, A. Jansen, A. Roberts, M. Tagliasacchi and 3 other author(s). (2023)cite arxiv:2301.11325Comment: Supplementary material at https://google-research.github.io/seanet/musiclm/examples and https://kaggle.com/datasets/googleai/musiccaps.
a year ago by @annakrause
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idea:bee_audio_llm
audio
llm
generative
idea:bee_audio_llmaudiollmgenerative
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2Grounded Copilot: How Programmers Interact with Code-Generating Models
S. Barke, M. James, and N. Polikarpova. Proceedings of the ACM on Programming Languages, 7 (OOPSLA1): 85–111 (April 2023)
7 months ago by @brusilovsky
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code-generation
llm
programming
code-generationllmprogramming
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1Iris: An AI-Driven Virtual Tutor for Computer Science Education
P. Bassner, E. Frankford, and S. Krusche. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, page 394–400. New York, NY, USA, Association for Computing Machinery, (Jul 3, 2024)
a day ago by @brusilovsky
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help
feedback
automatic-assessment
iticse2024
progtutor
llm
helpfeedbackautomatic-assessmentiticse2024progtutorllm
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2Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation
B. Becker, P. Denny, J. Finnie-Ansley, A. Luxton-Reilly, J. Prather, and E. Santos. Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, page 500-506. ACM, (March 2023)
7 months ago by @brusilovsky
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code-generation
sigcse2023
llm
code-generationsigcse2023llm
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1LoRA Learns Less and Forgets Less
D. Biderman, J. Ortiz, J. Portes, M. Paul, P. Greengard, C. Jennings, D. King, S. Havens, V. Chiley, J. Frankle and 2 other author(s). (2024)
16 days ago by @reeceyang
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llm
llm
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1Improving language models by retrieving from trillions of tokens
S. Borgeaud, A. Mensch, J. Hoffmann, T. Cai, E. Rutherford, K. Millican, G. Driessche, J. Lespiau, B. Damoc, A. Clark and 18 other author(s). (2021)cite arxiv:2112.04426Comment: Fix incorrect reported numbers in Table 14.
11 months ago by @lisa-ee
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retrieval
llm
retrievalllm
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5AudioLM: a Language Modeling Approach to Audio Generation
Z. Borsos, R. Marinier, D. Vincent, E. Kharitonov, O. Pietquin, M. Sharifi, O. Teboul, D. Grangier, M. Tagliasacchi, and N. Zeghidour. (2022)cite arxiv:2209.03143.
a year ago by @annakrause
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idea:bee_audio_llm
audio
llm
idea:bee_audio_llmaudiollm
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5AudioLM: a Language Modeling Approach to Audio Generation
Z. Borsos, R. Marinier, D. Vincent, E. Kharitonov, O. Pietquin, M. Sharifi, O. Teboul, D. Grangier, M. Tagliasacchi, and N. Zeghidour. (2022)cite arxiv:2209.03143.
a year ago by @martinr
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idea:bee_audio_llm
audio
llm
dmir-readinggroup
idea:bee_audio_llmaudiollmdmir-readinggroup
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10Language Models are Few-Shot Learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell and 21 other author(s). (2020)
6 months ago by @chiir_demo
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gpt-3
nlp
openai
gpt
llm
languagemodel
gpt-3nlpopenaigptllmlanguagemodel
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1Scaling Transformer to 1M tokens and beyond with RMT
A. Bulatov, Y. Kuratov, and M. Burtsev. (2023)cite arxiv:2304.11062.
11 months ago by @joshuaeckroth
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llm
llm
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2Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions
H. Chang, and A. McCallum. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 8048--8073. Dublin, Ireland, Association for Computational Linguistics, (May 2022)
3 months ago by @tobias.koopmann
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nlp
softmax
llm
reading
nlpsoftmaxllmreading
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1Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
J. Chen, H. Dong, J. Hastings, E. Jiménez-Ruiz, V. Lopez, P. Monnin, C. Pesquita, P. Škoda, and V. Tamma. (2023)cite arxiv:2309.17255Comment: 32 pages, 1 figure, accepted for Transactions on Graph Data and Knowledge (TGDK).
9 months ago by @hangdong
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kg-construction
myown
gene-ontology
medical
chebi
snomedct
go
personalisation
knowledge-graph-construction
multimodal
llm
knowledge-graphs
personal_knowledge_graph
chemical
protein
kgs
kg
life-sciences
xai
explainable-ai
knowledge-discovery
life-science-knowledge-discovery
ontologies
kg-constructionmyowngene-ontologymedicalchebisnomedctgopersonalisationknowledge-graph-constructionmultimodalllmknowledge-graphspersonal_knowledge_graphchemicalproteinkgskglife-sciencesxaiexplainable-aiknowledge-discoverylife-science-knowledge-discoveryontologies
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1Evaluating Large Language Models Trained on Code
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman and 48 other author(s). arXiv:cs.LG/2107.03374. arXiv, (2021)
7 months ago by @brusilovsky
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llm
programming
llmprogramming
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1Structured information extraction from scientific text with large language models
J. Dagdelen, A. Dunn, S. Lee, N. Walker, A. Rosen, G. Ceder, K. Persson, and A. Jain. Nature Communications, 15 (1): 1418 (Feb 15, 2024)
4 months ago by @mho
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extraction
llm
extractionllm
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2Promptagator: Few-shot Dense Retrieval From 8 Examples
Z. Dai, V. Zhao, J. Ma, Y. Luan, J. Ni, J. Lu, A. Bakalov, K. Guu, K. Hall, and M. Chang. (2022)cite arxiv:2209.11755.
a year ago by @sairahul
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machinelearning
llm
machinelearningllm
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1QLoRA: Efficient Finetuning of Quantized LLMs
T. Dettmers, A. Pagnoni, A. Holtzman, and L. Zettlemoyer. (2023)cite arxiv:2305.14314Comment: Extended NeurIPS submission.
a year ago by @jil
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memory
gpu
llm
quantization
single
finetuning
memorygpullmquantizationsinglefinetuning
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1The case for 4-bit precision: k-bit Inference Scaling Laws
T. Dettmers, and L. Zettlemoyer. (2022)cite arxiv:2212.09720.
a year ago by @jil
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model
bit
llm
quantization
compression
modelbitllmquantizationcompression
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2A Language Model based Framework for New Concept Placement in Ontologies
H. Dong, J. Chen, Y. He, Y. Gao, and I. Horrocks. (2024)
3 months ago by @hangdong
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nlp
plm
myown
knowledge-enrichment
text-mining
ontology-enrichment
concept-learning
kg
large-language-models
llm
ontologies
nlpplmmyownknowledge-enrichmenttext-miningontology-enrichmentconcept-learningkglarge-language-modelsllmontologies
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1Shortcut Learning of Large Language Models in Natural Language Understanding
M. Du, F. He, N. Zou, D. Tao, and X. Hu. Communications of the ACM, 67 (1): 110--120 (Dec 21, 2023)
4 months ago by @jaeschke
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nlp
shortcut
language
learning
model
llm
plk
nlpshortcutlanguagelearningmodelllmplk
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