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ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2]
The French scale measures and is proportional to the outer diameter of a catheter, with 1 French (Fr) defined as 1 ⁄ 3 millimeter, making the relationship: 1 mm = 3 Fr. Thus, the outer diameter of a catheter in millimeters can be calculated by dividing the French size by 3. [ 2 ]
Its API costs $0.15 per million input tokens and $0.6 per million output tokens, compared to $2.50 and $10, [19] respectively, for GPT-4o. It is also significantly more capable and 60% cheaper than GPT-3.5 Turbo, which it replaced on the ChatGPT interface. [ 18 ]
There are a number of sizes listed below that appear to be quite similar, and while the tolerances of these connectors are typically indicated as ±0.05 or ±0.03 mm by the manufacturers, there is still ambiguity as to whether two sizes differing by only 0.05 mm (or where the specification is only given to the nearest 0.10 mm) warrants listing ...
4 in × 1 in × 5 + 3 ⁄ 4 in (102 mm × 25 mm × 146 mm) = 377 cm 3. This smaller form factor is similar to that used in an HDD by Rodime in 1983, which was the same size as the "half height" 3 + 1 ⁄ 2 in (89 mm) FDD, i.e., 1.63 inches (41 mm) high.
The normal range of GFR, adjusted for body surface area, is 100–130 average 125 mL/min/1.73m 2 in men and 90–120 ml/min/1.73m 2 in women younger than the age of 40. In children, GFR measured by inulin clearance is 110 mL/min/1.73 m 2 until 2 years of age in both sexes, and then it progressively decreases. After age 40, GFR decreases ...
These include the 3.5 mm connector, rated to 34 GHz, and the 2.92 mm (also known as 2.9 mm, K type, or SMK), [12] good up to 46 GHz. These connectors keep the same outside thread as the SMA, so they can potentially be cross-mated, but the precision connector can be easily damaged when mating with low-grade SMA connectors. [ 13 ]
The first GPT model was known as "GPT-1," and it was followed by "GPT-2" in February 2019. Created as a direct scale-up of its predecessor, GPT-2 had both its parameter count and dataset size increased by a factor of 10. It had 1.5 billion parameters, and was trained on a dataset of 8 million web pages. [9]