{"id":134949,"date":"2023-09-25T12:47:23","date_gmt":"2023-09-25T12:47:23","guid":{"rendered":"https:\/\/blog.finxter.com\/?p=1651783"},"modified":"2023-09-25T12:47:23","modified_gmt":"2023-09-25T12:47:23","slug":"5-best-open-source-llms-in-2023-two-minute-guide","status":"publish","type":"post","link":"https:\/\/sickgaming.net\/blog\/2023\/09\/25\/5-best-open-source-llms-in-2023-two-minute-guide\/","title":{"rendered":"5 Best Open-Source LLMs in 2023 (Two-Minute Guide)"},"content":{"rendered":"\n
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5\/5 – (1 vote) <\/div>\n<\/p><\/div>\n

Open-source research on large language models (LLMs)<\/a> is crucial for democratizing this powerful technology. <\/p>\n

Although open-source LLMs are now widely used and studied, they faced initial challenges and criticism. Early attempts at creating open-source LLMs like OPT<\/a> and BLOOM<\/a> had poor performance compared to closed-source models. <\/p>\n

This led researchers to realize the need for higher-quality base models pre-trained on larger datasets with trillions (!) of tokens!<\/strong> <\/p>\n