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20 | 20 | #### Andrej Karpathy is a demi-god. | |
21 | 21 | - https://x.com/karpathy/status/1748043513156272416 | |
22 | 22 | ||
23 | + | #### More App example experiences. | |
23 | 24 | - https://doordash.engineering/2020/08/28/overcome-the-cold-start-problem-in-menu-item-tagging/ | |
24 | 25 | description of DoorDash App. | |
25 | 26 | - https://arxiv.org/pdf/2212.10481 Execution-Based Evaluation for Open-Domain Code Generation |
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1 | + | ### The original Three articles. | |
2 | + | ||
3 | + | - https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/ | |
4 | + | - https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-ii/ | |
5 | + | - https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-iii-strategy/ | |
6 | + | ||
7 | + | ### And then the Rabbit Holes. | |
8 | + | ||
9 | + | - https://www.microsoft.com/en-us/research/blog/the-power-of-prompting/ Microsoft's ideas on prompt engr rather than fine-tunning. | |
10 | + | - https://www.linkedin.com/blog/engineering/generative-ai/musings-on-building-a-generative-ai-product LinkedIn's App work description. | |
11 | + | - https://jxnl.github.io/blog/writing/2024/02/28/levels-of-complexity-rag-applications/ Some ideas on whata RAG app might look like. | |
12 | + | ||
13 | + | Hamel Husain's ideas... very useful | |
14 | + | - https://hamel.dev/blog/posts/evals/ | |
15 | + | - https://hamel.dev/blog/posts/prompt/ | |
16 | + | - https://gist.github.com/hamelsmu/d0d75bf702e56987f35cb715f7da4d6a | |
17 | + | - https://hamel.dev/blog/posts/evals/#step-1-write-scoped-tests | |
18 | + | Write the Tests!! | |
19 | + | ||
20 | + | #### Andrej Karpathy is a demi-god. | |
21 | + | - https://x.com/karpathy/status/1748043513156272416 | |
22 | + | ||
23 | + | - https://doordash.engineering/2020/08/28/overcome-the-cold-start-problem-in-menu-item-tagging/ | |
24 | + | description of DoorDash App. | |
25 | + | - https://arxiv.org/pdf/2212.10481 Execution-Based Evaluation for Open-Domain Code Generation | |
26 | + | - https://www.godaddy.com/resources/news/llm-from-the-trenches-10-lessons-learned-operationalizing-models-at-godaddy#h-1-sometimes-one-prompt-isn-t-enough | |
27 | + | GoDaddy'ss LLM App Description. | |
28 | + | - https://promptengineering.org/what-are-large-language-model-llm-agents/ | |
29 | + | what's a LLM-agent and why? | |
30 | + | - https://github.com/daveshap/SparsePrimingRepresentations | |
31 | + | a very clever way to condense knowledge to be used within prompts. | |
32 | + | ||
33 | + | ||
34 | + | #### Prompt frameworks | |
35 | + | - https://github.com/outlines-dev/outlines | |
36 | + | - https://github.com/jxnl/instructor | |
37 | + | ||
38 | + | #### SQL PaLM | |
39 | + | - https://www.researchgate.net/publication/371223615_SQL-PaLM_Improved_Large_Language_ModelAdaptation_for_Text-to-SQL | |
40 | + | ||
41 | + | #### Create a LLM from Scratch | |
42 | + | - https://pbs.twimg.com/card_img/1799150371614437376/EcIpp2ov?format=jpg&name=small | |
43 | + | ||
44 | + | #### Code-aid tool | |
45 | + | - https://austinhenley.com/blog/codeaid.html | |
46 | + | - https://austinhenley.com/pubs/Kazemitabaar2024CHI_CodeAid.pdf | |
47 | + | ||
48 | + | - https://lancedb.com | |
49 | + | a vector database for use to handle embedding and chunked text(?) |